International Islamic University Malaysia (IIUM), Gombak, Kuala Lumpur, Malaysia

Size: px
Start display at page:

Download "International Islamic University Malaysia (IIUM), Gombak, Kuala Lumpur, Malaysia"

Transcription

1 Comparison o Empirical Indoor Propagation Models or 4G Wireless Networks at 2.6 GHz Al-Hareth Zyoud 1, Jalel Chebil 2, Mohamed Hadi Habaebi 3, Md. Raiqul Islam 4 and Akram M. Zeki Electrical and Computer Engineering Department, Faculty o Engineering, 5 Faculty o Inormation and Communication Technology International Islamic University Malaysia (IIUM), 531 Gombak, uala umpur, Malaysia 1 al7_z@yahoo.com, 2 jalel@iium.edu.my, 3 habaebi@iium.edu.my, 4 raiq@iium.edu.my and 5 akramzeki@iium.edu.my Abstract Indoor path loss models are playing an important role in the design and planning o the 4 th generation o the mobile networks. Moreover, it is an important component o system level simulators used to evaluate and test the network perormance beore it has been established. Many propagation models were proposed or this purpose. Most o these models are or macro and micro cellular networks. Small cell which is known as emtocell has been launched or uture networks and it is ldly deployed by the mobile operators around the world. The available propagation models accuracy is at question when applied to emtocell design and engineering. This paper attempts to quantiy the accuracy o these models by studying and comparing seven dierent propagation models or our dierent implementation scenarios at 2.6 GHz and or dierent separation distances. eywords Indoor propagation models, Femtocell, system level simulator, Free space loss, TE network. I. INTRODUCTION The rapid development o smartphones and tablet PCs increased the interest in indoor communication systems and emtocell technology. Femtocell which is a home access point is an important parameter in uture reless networks. Many researches are conducting annually around the world to study and investigate the challenges o deployment emtocell in the real environment. Thereore, to igure out and reduce the eects and the cost o emotcell deployment in eisting reless networks, system level simulator is necessary. The irst requirement o building a system level simulator is the path loss model. It plays an important role in intererence calculation. Since emtocell is installed indoor, it gained the attention to the indoor propagation models. Many propagation models were proposed in the literature. Most o these models are or macro and microcellular networks. Propagation models that are used in microcellular are not accurate enough to be applied in emtocell propagation calculations. An accurate model that considers more speciic details in addition to the direct path is required. Adding the number o loors and walls between the transmitter and the receiver is more accurate and less errors than using only the direct path [1]. The indoor propagation models that were ound in literature could be divided into two main categories. The irst is the general site models which are based on real measurement and not dependent on the site parameters [2-7].The second category is the site speciic models which proposed based on a speciic scenario and assumptions [8], [9]. The scope o this paper is the general site models. Seven o these models were studied and compared in our dierent scenarios. Most o the studies recently considered the indoor to outdoor propagation [1-12]. ess attention is paid or the in building models. In [13] and [14] the cost231 multi walls multi loors model was applied or the indoor path loss calculations. In this paper a comparison between dierent types o indoor propagation models has been proposed. Most o these models are suitable or three dimensional scenarios, where the number o penetrated walls and loors are considered. The path loss models were applied or our dierent scenarios in three story building. The requency that assigned or TE networks in Malaysia is 2.6 GHz. So, this requency ll be considered during the comparison process. The building consists o three loors, th three rooms each. The ceiling height is 3 m and the room dimensions are 6.5m 5 m. This paper is organized as ollows: seven dierent models are presented in the net section. Section 3 shows a comparison between the available models or dierent scenarios. Finally, a conclusion is given in Section 4. II. INDOOR PROPAGATION MODES Many studies have been conducted around the world that considered the indoor environment. Some are based on real measurements which also called general site models and others based on simulation and called site speciic models. In this section, many types o indoor propagation models are presented which are,, cost231, and multi walls multi loors () models. The scenario, requency bands and the required parameters to run these models are also highlighted. A. D112 V1.2 Model The channel models were proposed or indoor, indoor to outdoor, outdoor to indoor, and outdoor scenarios [2]. Firstly, they were applied at 2 and 5 GHz, then they were etended over requency range 2-6 GHz. The layout o the

2 indoor scenario is presented in Fig. 1. Two models were proposed, line o site model (OS), where there is no obstacles between the emtocell and subscriber user equipment (UE). The path loss is applied as in Equation (1). P 18.7 log( d) log( c / 5) (1) The second model is non line o site model (NOS) as in Equation (2), where the emtocell and the UE are in dierent rooms. Moreover, the number o penetrated walls and loors are considered. Fig. 1 Indoor scenarios layout or model [2] P 2 log( d) log( / 5) 12n F (2) F 17 4( n 1) (3) where c is the requency in GHz, d is the distance between the emtocell and the UE in meter, n w is number o walls, n is number o loors. Equations 2 and 3 show that the relation o penetrated obstacles is constant and linear th traversed loors and walls. It is increased by 12 db or the wall and 4 db or the loor. B. ITU-R M / 3GPP TR Model Based on real measurement results carried out in China [15-2] the WIINER II model was modiied and accepted by the ITU-R M.2135 [3] and proposed as in Equation (4) or OS and as in Equation 5 or NOS. P 16.9 log( d) log( c ) (4) P 43.3log( d) log( c ) (5) where c is the requency in GHz, d is the distance in meter between the transmitter and the receiver. Fig. 2 Indoor environment (one loor) or ITU-R M / 3GPP TR model [3] c W This model is also adopted by the 3GPP or indoor emtocell scenario [4]. The indoor scenario is presented in Fig. 2. It consists o one loor o 6 m height includes big hall and 16 rooms C. Cost 231 Models Three dierent types o indoor propagation models were proposed in cost231 [5] based on real measurements conducted in European cities at 9 and 18 MHz and were scaling or other requencies. The proposed models are as listed below: The irst is the cost231 one-slope model. This model is only considering the logarithmic distance between the transmitter and the receiver. The path loss is calculated as: P 1n log( ) (6) d Where is the path loss at 1 meter distance (db) and it is calculated as in Equation (7), n is the power decay inde, and d is the distance between emtocell and UE (m). It is clear that this model is equal to ree space loss as in Equation (9) i n is equal to log (7) The second model is attenuation model which indicates that the relation between the path loss and distance is linear. The path loss is epressed as: P FS d (8) where is the ree space losses (db) and it is calculated as FS in Equation (9), is the attenuation coeicient (db/m), and d is the distance between the emtocell and UE (m). FS log( d) 2 log( ) (9) The two previous models are very simple. They are not considering the penetrated walls and loors in the indoor environment between the transmitter and thee receiver as in the real scenarios. Thereore the third model cost231 multi walls multi loors model (Cost231 ) was proposed. In this model, in addition to the ree space loss, the attenuation due to walls and loors is accounted. The path loss is presented as ollows: P FS c I i1 k 2 b k 1 (1) where is the ree space loss between transmitter and FS receiver (db), C is a constant loss which determines rom measurements results and it is close to zero [5], k and are the number and loss o traversed walls o type i respectively, k and are number and loss o penetrated loors respectively, b is an empirical parameter, and I is the number o wall types.

3 Path loss [db] Path loss [db] D. ITUR P Model This model is based on real measurements and over requency range 9 MHz to 1 GHz [6]. The path loss is calculated according to the ollong equation: P 2 log( ) N log( d) ( n ) 28 (11) where N is the distance power loss coeicient, is the requency (MHz), d is the distance between the emtocell and UE (where d >1 m), is the loor penetration loss actor (db), and n is the number o loors separate between the emtocell and UE. This model is considering the number o loors only and proposed as a solution to the requency reuse between loors. E. The Multi Wall Multi Floor Model () This model is based on ray tracing simulation at 5.2GHz. It was veriied using open literature results or dierent requencies [7]. The path loss is computed as in Equation (12). The model shows a nonlinear relation between the traversed walls or loors and the penetration loss. MWF I i1 k1 j 1 nlog( d (12) ) k J j1 k1 where is the path loss in distance o 1m (db), n is the power decay inde and it determined between 1.96 and 2.3 or the considered scenario, d is the distance between the emtocell and the UE (m), k is the loss o k th wall o type i traversed (db), is number o traversed walls o category i, I is the number o wall categories, jk is the loss o k th loor o type i traversed (db), j is number o traversed walls o category j, and J is the number o loor categories. To sum up, all o the previous models could be applied or three dimensional indoor environments. Thereore, net section is presenting a comparison between the previous models or our dierent indoor scenarios. III. COMPARISON OF INDOOR MODES The indoor models which considered in this paper were proposed or dierent requency bands and or dierent scenarios. This section is presenting a comparison between these dierent models or the same requency and the same scenario to check the capability o these models. Four indoor scenarios are considered in this paper A, B, C, and D. The layout o the proposed scenarios is as shown in Fig. 3. The building consists o three loors, th three rooms each. The loor height is 3 m and the room dimensions are 6.5 X 5 m. The applied requency is 2.6 GHz, since it is the requency assigned or TE networks by Malaysian mobile operators. The irst scenario is A, where is the emtocell and the UE are in the same room and OS connection. The maimum distance is the length o the room which is 6.5m. is 2.6 GHz. n in equations (6) and (12) is 4 [5]. N in Equation (11) is 28 [6]. in Equation (8) is.62 [5]. The comparison is as in Fig. 4. Notice that the cost231 model in Equation (1) is jk same to FS as in Equation (9), and the model Equation (12) is same as the one slope model Equation (6). Ү T C Cost 231 Fig. 3 The layout o indoor scenarios Fig. 4 Path loss or scenario A Fig. 4 shows that the and models close to each other and epecting path loss range o 75 db or 6.5 meters distance, while the path loss is 3 db better or cost231, and ITUR M2135. The and cost231 the linear models are predicting 63 db in between A cost 231 D Fig. 5 Path loss or scenario B In the second scenario (B), the emtocell and the UE are in the same loor but in dierent rooms. The maimum distance is the length o the loor which is 19.5m. is 2.6 GHz. n, N B

4 Path loss [db] Path loss [db] and are same as in scenario A. w or cost231 model is 6.9 db [5]. w11, and w12 in the model are 16 and 14 db respectively [7]. Comparison between the seven models is shown in Fig. 5. In this scenario the eect o walls is considered. In Fig. 5 it is clear that, cost231, and models are close to each other and predicting 8 db losses or the two walls. The path loss is increased to 1 db or the and models. Moreover, the path loss is worse and up to 12 db by using the model. In the third scenario (C), three loors are considered. However, the UE in the third loor is eactly above the emotcell. It is one meter above the ground. Thereore, only two penetrated loors are accounted and the distance is 7 m. The ollong parameters are considered: n or two loors is 5.2 [5], N is 28, is 2.8, in cost231 model is 18.3 db, 11 and 12 in the model are 19 and 15.2 db respectively [7] cost Fig. 6 Path loss or scenario C Five o the models show almost the same perormance th some dierence as shown in Fig. 6. The path loss was 78 db or the linear model, while the cost 231 was 13 db worse and pointed at 81 db. In addition, the model shows over estimated result th 12 db loss. Finally, the perormance o the ITU-R 2135 was not stabile because the distance is less than ten meters, hence the NOS part o the model was proposed or distance more than 1 meters. Normally the distance between loors in the residential departments is around 3 meters. So the NOS part o the model ll not be suitable to estimate the penetration losses o loors even though it was proposed by the 3GPP or emtocell scenarios. The last scenario considered the diagonal distance between emtocell installed in the let side o the irst loor and UE in the right side o the third loor as in D. In this scenario the eects o walls and loors are studied. Models parameters are same as in scenarios B and C. Fig. 7 shows that our o the models are close to each other especially or the NOS th path loss around 11 db. However, The ITU-R models predicted less loss th 1 db or the and 8 db. astly, the epected loss using the model was very high th 175 db. IV. CONCUSIONS Seven dierent indoor propagation models available in the literature or 4G emtocell requencies was studied and compared in our dierent scenarios. In OS scenarios like scenario A, the minimum path loss is 55 db and it is increased to 75 db or the and models. In addition, or the NOS and same loor scenario, the loss is 8dB or most o the models ecept the model where the loss is around 12 db. The third scenario considered the loors penetration only. The path loss is 9 db or ive o the models and 12 or the model. The ITUR M2135 has limitations in this scenario since the minimum distance assumed or NOS in this model is 1 m. Finally, in the last scenario, walls and loor are accounted. The path loss is below 12 db or si models while it is 175 db or the model. The overestimation o the model might be due to the value used or the path loss eponent which is between 1.96 and 2.1 while or other models it is considered between 4 and 5.2. As a uture works, real measurement ll be conducted and compared th the previous models to check the best relected model cost Fig. 7 Path loss or scenario D ACNOWEDGMENT The authors are thankul to the International Islamic University Malaysia and to the Malaysian Ministry o Higher Education or supporting this study. REFERENCES [1] Saunders, S. R., Antennas and Propagation or Wireless Communication Systems, Wiley, [2] IST , D1.1.2 V1.2, Channel Models, Part I Channel Models, 28. [3] Report ITU-R M , Guidelines or evaluation o radio interace technologies or IMT-Advanced, 29. [4] Further advancements or e-utra (physical layer aspects), 3GPP TR v9.., Tech. Rep., March 21. [5] Digital mobile radio towards uture generation systems, inal report, COST Action 231, European Communities, EUR 18957, Tech. Rep., 1999.

5 [6] Report ITU-R P , Propagation data and prediction methods or the planning o indoor radiocommunications systems and radio local area networks in the requency range o 9 MHz to 1 GHz, 212. [7] M. ott and I. Forkel, A multi-wall-and-loor model or indoor radio propagation, inproc. VTC 21 Spring Vehicular Technology Con. IEEE VTS 53rd, vol. 1, 21, pp [8] M. Hassan-Ali and. Pahlavan A new statistical model or sitespeciic indoor radio propagation prediction based on geometric optics and geometric probability, IEEE Trans. Wireless Commun., vol. 1, no. 1, pp , 22 [9] C.-P. im, J.. Volakis,. Sertel, R. W. indt and A. Anastasopoulos "Indoor propagation models based on rigorous methods or site-speciic multipath environments", IEEE Trans. Antennas Propag., vol. 54, no. 6, pp , 26. [1] Corre Y, Stephan J, ostanlen Y: Indoor-to-outdoor path-loss models or emtocell predictions. In Proceedings o IEEE 22nd Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). Toronto, Canada; 211: [11] Rose, D. M., ansen, T. and u rner, T. Indoor to Outdoor Propagation Measuring and Modeling o Femto Cells in TE Networks at 8 and 2 MHz. Presented at IEEE Global Communications Conerence (GOBECOM). Houston, Teas, 5th-9th December 211. [12] A. Valcarce and J. Zhang "Empirical indoor-to-outdoor propagation model or residential areas at GHz", IEEE Antennas Wireless Propag. ett., vol. 9, pp [13] etourneu, F., Corre, Y., Suteau, E., ostanlen, Y. 3D coverage analysis o TE urban heterogeneous networks th dense emtocell deployments, EURASIP ournal on Wireless Communications and Networking (October), 212. [14]. ee, S. Bae, Y. won, and M. Chung, Intererence analysis or emtocell deployment in OFDMA systems based on ractional requency reuse, IEEE Commun. ett., vol. PP, no. 99, pp. 1 3, Apr [15] Dong, W., Zhang, J., Gao, X., Zhang, P. and Wu, Y. Cluster Identiication and Properties o Outdoor Wideband MIMO Channel, Vehicular Technology Conerence. VTC-27 Fall. 27. [16] Fujii, T. Path-loss Prediction Formula in Mobile Communication -an Epansion o SA AGAMI Path-loss Prediction Formula. Trans. IEICE, Japan, J86-B, 1, p , 23. [17] u, Y., Zhang, J., Gao, X., Zhang, P. and Wu, Y. Outdoor-Indoor Propagation Characteristics o Peer-to-Peer System at 5.25 GHz, Vehicular Technology Conerence, 27. [18] Xu, D., Zhang, J., Gao, X., Zhang, P. and Wu, Y. Indoor Oice Propagation Measurements and Path oss Models at 5.25 GHz, Vehicular Technology Conerence, 27. [19] Zhang, J., Gao, X., Zhang, P. and Yin, X. Propagation Characteristics o Wideband MIMO Channel in Hotspot Areas at 5.25 GHz, Personal, Indoor and Mobile Radio Communications, 27. [2] Zhang, J., Dong. D., iang. Y., Nie. X., Gao. X., Zhang, Y., Huang, CH. and iu, G. Propagation Characteristics o Wideband MIMO Channel in Urban Micro- and Macrocell, IEEE PIMRC 28, Invited paper.

Adjustment of Lee Path Loss Model for Suburban Area in Kuala Lumpur-Malaysia

Adjustment of Lee Path Loss Model for Suburban Area in Kuala Lumpur-Malaysia 2011 International Conference on Telecommunication Technology and Applications Proc.of CSIT vol.5 (2011) (2011) IACSIT Press, Singapore Adjustment of Lee Path Loss Model for Suburban Area in Kuala Lumpur-Malaysia

More information

EELE 6333: Wireless Commuications

EELE 6333: Wireless Commuications EELE 6333: Wireless Commuications Chapter # 2 : Path Loss and Shadowing (Part Two) Spring, 2012/2013 EELE 6333: Wireless Commuications - Ch.2 Dr. Musbah Shaat 1 / 23 Outline 1 Empirical Path Loss Models

More information

Seasonal Pathloss Modeling at 900MHz for OMAN

Seasonal Pathloss Modeling at 900MHz for OMAN 2011 International Conference on Telecommunication Technology and Applications Proc.of CSIT vol.5 (2011) (2011) IACSIT Press, Singapore Seasonal Pathloss Modeling at 900MHz for OMAN Zia Nadir + Electrical

More information

Proposed Propagation Model for Dehradun Region

Proposed Propagation Model for Dehradun Region Proposed Propagation Model for Dehradun Region Pranjali Raturi, Vishal Gupta, Samreen Eram Abstract This paper presents a review of the outdoor propagation prediction models for GSM 1800 MHz in which propagation

More information

Radio Path Loss and Penetration Loss. Measurements in and around Homes. and Trees at 5.85 GHz. Mobile and Portable Radio Research Group

Radio Path Loss and Penetration Loss. Measurements in and around Homes. and Trees at 5.85 GHz. Mobile and Portable Radio Research Group 1 Radio Path Loss and Penetration Loss Measurements in and around Homes and Trees at 5.85 GHz Greg Durgin, Theodore S. Rappaport, Hao Xu Mobile and Portable Radio Research Group Bradley Department of Electrical

More information

Performance of Path Loss Model in 4G Wimax Wireless Communication System in 2390 MHz

Performance of Path Loss Model in 4G Wimax Wireless Communication System in 2390 MHz 2011 International Conference on Computer Communication and Management Proc.of CSIT vol.5 (2011) (2011) IACSIT Press, Singapore Performance of Path Loss Model in 4G Wimax Wireless Communication System

More information

Optimizing the Existing Indoor Propagation Prediction Models

Optimizing the Existing Indoor Propagation Prediction Models 2012 International Conference on Wireless Networks (ICWN 2012) IPCSIT vol. 49 (2012) (2012) IACSIT Press, Singapore DOI: 10.7763/IPCSIT.2012.V49.37 Optimizing the Existing Indoor Propagation Prediction

More information

Unit 1: The wireless channel

Unit 1: The wireless channel Unit 1: The wireless channel Wireless communications course Ronal D. Montoya M. http://tableroalparque.weebly.com/radiocomunicaciones.html ronalmontoya5310@correo.itm.edu.co August 23, 2017 1/26 Outline

More information

Wireless Communications

Wireless Communications NETW701 Wireless Communications Dr. Wassim Alexan Winter 2018 Lecture 5 NETW705 Mobile Communication Networks Dr. Wassim Alexan Winter 2018 Lecture 5 Wassim Alexan 2 Outdoor Propagation Models Radio transmission

More information

Indoor Measurement And Propagation Prediction Of WLAN At

Indoor Measurement And Propagation Prediction Of WLAN At Indoor Measurement And Propagation Prediction Of WLAN At.4GHz Oguejiofor O. S, Aniedu A. N, Ejiofor H. C, Oechuwu G. N Department of Electronic and Computer Engineering, Nnamdi Aziiwe University, Awa Abstract

More information

Coverage Planning for LTE system Case Study

Coverage Planning for LTE system Case Study Coverage Planning for LTE system Case Study Amer M. Daeri 1, Amer R. Zerek 2 and Mohammed M. Efeturi 3 1 Zawia University. Faculty of Engineering, Computer Engineering Department Zawia Libya Email: amer.daeri@

More information

EELE 5414 Wireless Communications. Chapter 4: Mobile Radio Propagation: Large-Scale Path Loss

EELE 5414 Wireless Communications. Chapter 4: Mobile Radio Propagation: Large-Scale Path Loss EELE 5414 Wireless Communications Chapter 4: Mobile Radio Propagation: Large-Scale Path Loss In the last lecture Outline Diffraction. Scattering. Practical link budget design. Log-distance model Log-normal

More information

Empirical Path Loss Models for n Wireless networks at 2.4Ghz in rural regions

Empirical Path Loss Models for n Wireless networks at 2.4Ghz in rural regions Empirical Path Loss Models for 802.11n Wireless networks at 2.4Ghz in rural regions Jean Louis Fendji Kedieng Ebongue, Mafai Nelson, and Jean Michel Nlong University of Ngaoundéré, Computer Science, P.O.

More information

EENG473 Mobile Communications Module 3 : Week # (11) Mobile Radio Propagation: Large-Scale Path Loss

EENG473 Mobile Communications Module 3 : Week # (11) Mobile Radio Propagation: Large-Scale Path Loss EENG473 Mobile Communications Module 3 : Week # (11) Mobile Radio Propagation: Large-Scale Path Loss Practical Link Budget Design using Path Loss Models Most radio propagation models are derived using

More information

PROPAGATION PATH LOSS IN URBAN AND SUBURBAN AREA

PROPAGATION PATH LOSS IN URBAN AND SUBURBAN AREA PROPAGATION PATH LOSS IN URBAN AND SUBURBAN AREA Divyanshi Singh 1, Dimple 2 UG Student 1,2, Department of Electronics &Communication Engineering Raj Kumar Goel Institute of Technology for Women, Ghaziabad

More information

Review of Comparative Analysis of Empirical Propagation model for WiMAX

Review of Comparative Analysis of Empirical Propagation model for WiMAX Review of Comparative Analysis of Empirical Propagation model for WiMAX Sachin S. Kale 1 A.N. Jadhav 2 Abstract The propagation models for path loss may give different results if they are used in different

More information

EE6604 Personal & Mobile Communications. Week 7. Path Loss Models. Shadowing

EE6604 Personal & Mobile Communications. Week 7. Path Loss Models. Shadowing EE6604 Personal & Mobile Communications Week 7 Path Loss Models Shadowing 1 Okumura-Hata Model L p = A+Blog 10 (d) A+Blog 10 (d) C A+Blog 10 (d) D for urban area for suburban area for open area where A

More information

EE 577: Wireless and Personal Communications

EE 577: Wireless and Personal Communications EE 577: Wireless and Personal Communications Large-Scale Signal Propagation Models 1 Propagation Models Basic Model is to determine the major path loss effects This can be refined to take into account

More information

PERFORMANCE ANALYSIS OF INDOOR WLAN MOBILITY

PERFORMANCE ANALYSIS OF INDOOR WLAN MOBILITY PERFORMANCE ANALYSIS OF INDOOR WLAN MOBILITY MOHD. DANI BABA, MOHAMAD IBRAHIM, ABDULMUKTI AHMAD Faculty of Electrical Engineering Universiti Teknologi MARA 445 Shah Alam, Selangor MALAYSIA Abstract :-

More information

Optimization of Empirical Pathloss Models of WiMax at 4.5 GHz Frequency Band

Optimization of Empirical Pathloss Models of WiMax at 4.5 GHz Frequency Band IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834,p- ISSN: 2278-8735.Volume 9, Issue 1, Ver. II (Jan. 2014), PP 01-08 Optimization of Empirical Pathloss Models of

More information

Statistic Microwave Path Loss Modeling in Urban Line-of-Sight Area Using Fuzzy Linear Regression

Statistic Microwave Path Loss Modeling in Urban Line-of-Sight Area Using Fuzzy Linear Regression ICCAS2005 June 2-5, KINTEX, Gyeonggi-Do, Korea Statistic Microwave Path Loss Modeling in Urban Line-of-Sight Area Using Fuzzy Linear Regression SUPACHAI PHAIBOON, PISIT PHOKHARATKUL Faculty of Engineering,

More information

Path Loss Measurements for a Non-Line-of-Sight Mobile-to-Mobile Environment

Path Loss Measurements for a Non-Line-of-Sight Mobile-to-Mobile Environment Path Loss Measurements for a Non-Line-of-Sight Mobile-to-Mobile Environment J. Turkka, M. Renfors Abstract This paper shows results of narrowband path loss measurements in a typical urban and suburban

More information

ECE 5325/6325: Wireless Communication Systems Lecture Notes, Spring 2013

ECE 5325/6325: Wireless Communication Systems Lecture Notes, Spring 2013 ECE 5325/6325: Wireless Communication Systems Lecture Notes, Spring 2013 Lecture 5 Today: (1) Path Loss Models (revisited), (2) Link Budgeting Reading Today: Haykin/Moher handout (2.9-2.10) (on Canvas),

More information

Measurement of Radio Propagation Path Loss over the Sea for Wireless Multimedia

Measurement of Radio Propagation Path Loss over the Sea for Wireless Multimedia Measurement of Radio Propagation Path Loss over the Sea for Wireless Multimedia Dong You Choi Division of Electronics & Information Engineering, Cheongju University, #36 Naedok-dong, Sangdang-gu, Cheongju-city

More information

ISSN: Guizhen * et al., 6(11): November, 2017] Impact Factor: 4.116

ISSN: Guizhen * et al., 6(11): November, 2017] Impact Factor: 4.116 IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY OPTIMIZATION MODEL OF WAVE PROPAGATION IN COMPLEX ENVIRONMENTS Cao Zhi, Lu Guizhen* *Communication University of China DOI: 10.581/zenodo.104066

More information

Comparison Between Measured and Predicted Path Loss for Mobile Communication in Malaysia

Comparison Between Measured and Predicted Path Loss for Mobile Communication in Malaysia World Applied Sciences Journal 21 (Mathematical Applications in Engineering): 123-128, 2013 ISSN 1818-4952 IDOSI Publications, 2013 DOI: 10.5829/idosi.wasj.2013.21.mae.99936 Comparison Between Measured

More information

An Investigation on the Use of ITU-R P in IEEE N Path Loss Modelling

An Investigation on the Use of ITU-R P in IEEE N Path Loss Modelling Progress In Electromagnetics Research Letters, Vol. 50, 91 98, 2014 An Investigation on the Use of ITU-R P.1411-7 in IEEE 802.11N Path Loss Modelling Thiagarajah Siva Priya, Shamini P. N. Pillay *, Manogaran

More information

Performance Evaluation of Channel Propagation Models and Developed Model for Mobile Communication

Performance Evaluation of Channel Propagation Models and Developed Model for Mobile Communication American Journal of Applied Sciences Original Research Paper Performance Evaluation of Channel Propagation Models and Developed Model for Mobile Communication 1,2 Yahia Zakaria and 1 Lubomir Ivanek 1 Department

More information

Lecture 2: Wireless Propagation Channels

Lecture 2: Wireless Propagation Channels Lecture 2: Wireless Propagation Channels RezaMohammadkhani, UniversityofKurdistan WirelessCommunications,2015 eng.uok.ac.ir/mohammadkhani 1 2 Outline Wireless Propagation Multipath Propagation Large scale

More information

arxiv: v2 [cs.it] 22 Feb 2016

arxiv: v2 [cs.it] 22 Feb 2016 G. R. MacCartney, Jr., S. Deng, and T. S. Rappaport, Indoor Office Plan Environment and Layout-Based MmWave Path Loss Models for 28 GHz and 73 GHz, to be published in 2016 IEEE 83rd Vehicular Technology

More information

Realistic Indoor Path Loss Modeling for Regular WiFi Operations in India

Realistic Indoor Path Loss Modeling for Regular WiFi Operations in India Realistic Indoor Path Loss Modeling for Regular WiFi Operations in India Hemant Kumar Rath 1, Sumanth Timmadasari 2, Bighnaraj Panigrahi 1, and Anantha Simha 1 1 TCS Research & Innovation, India, Email:{hemant.rath,

More information

Path Loss Modeling Based on Field Measurements Using Deployed 3.5 GHz WiMAX Network

Path Loss Modeling Based on Field Measurements Using Deployed 3.5 GHz WiMAX Network Wireless Pers Commun (2013) 69:793 803 DOI 10.1007/s11277-012-0612-8 Path Loss Modeling Based on Field Measurements Using Deployed 3.5 GHz WiMAX Network Yazan A. Alqudah Published online: 8 April 2012

More information

Investigating the Best Radio Propagation Model for 4G - WiMAX Networks Deployment in 2530MHz Band in Sub- Saharan Africa

Investigating the Best Radio Propagation Model for 4G - WiMAX Networks Deployment in 2530MHz Band in Sub- Saharan Africa Investigating the Best Radio Propagation Model for 4G - WiMAX Networks Deployment in 530MHz Band in Sub- Saharan Africa Awal Halifa Dep t of Electrical Engineering Kwame Nkrumah Univ. of Science and Technology

More information

Table of Contents. Kocaeli University Computer Engineering Department 2011 Spring Mustafa KIYAR Optimization Theory

Table of Contents. Kocaeli University Computer Engineering Department 2011 Spring Mustafa KIYAR Optimization Theory 1 Table of Contents Estimating Path Loss Exponent and Application with Log Normal Shadowing...2 Abstract...3 1Path Loss Models...4 1.1Free Space Path Loss Model...4 1.1.1Free Space Path Loss Equation:...4

More information

Suburban Area Path loss Propagation Prediction and Optimisation Using Hata Model at 2375MHz

Suburban Area Path loss Propagation Prediction and Optimisation Using Hata Model at 2375MHz Suburban Area Path loss Propagation Prediction and Optimisation Using Hata Model at 2375MHz A.N. Jadhav 1, Sachin S. Kale 2 Department of Electronics & Telecommunication Engineering, D.Y. Patil College

More information

A Path Loss Calculation Scheme for Highway ETC Charging Signal Propagation

A Path Loss Calculation Scheme for Highway ETC Charging Signal Propagation A Path Loss Calculation Scheme for Highway ETC Charging Signal Propagation Chunxiao LI, Dawei HE, Zhenghua ZHANG College of Information Engineering Yangzhou University, Jiangsu Province No.196, West Huayang

More information

Attenuation over distance and excess path loss for a large-area indoor commercial topology at 2.4 GHz

Attenuation over distance and excess path loss for a large-area indoor commercial topology at 2.4 GHz 19th International Conference on Telecommunications (ICT 212) Attenuation over distance and excess path loss for a large-area indoor commercial topology at 2.4 GHz Theofilos Chrysikos, Stavros Kotsopoulos

More information

Computer Engineering and Intelligent Systems ISSN (Paper) ISSN (Online) Vol.4, No.9, 2013

Computer Engineering and Intelligent Systems ISSN (Paper) ISSN (Online) Vol.4, No.9, 2013 Computer Analysis of the COST 231 Hata Model and Least Squares Approximation for Path Loss Estimation at 900MHz on the Mountain Terrains of the Jos-Plateau, Nigeria Abstract Abraham Deme 1,2*, Danjuma

More information

A Novel Hybrid Approach For Path Loss Exponent Estimation In Vanet Application

A Novel Hybrid Approach For Path Loss Exponent Estimation In Vanet Application A Novel Hybrid Approach For Path Loss Exponent Estimation In Vanet Application Prof. Ms. S. M. Patil Prof. A. R. Nigvekar Prof. P B. Ghewari Assistant Professor Associate Professor Associate professor

More information

Radio Propagation Modelling

Radio Propagation Modelling Radio Propagation Modelling Ian Wassell and Yan Wu University of Cambridge Computer Laboratory Why is it needed? To predict coverage between nodes in a wireless network Path loss is different from environment

More information

Path Loss Models and Link Budget

Path Loss Models and Link Budget Path Loss Models and Link Budget A universal path loss model P r dbm = P t dbm + db Gains db Losses Gains: the antenna gains compared to isotropic antennas Transmitter antenna gain Receiver antenna gain

More information

[Ekeocha*, 5(5): May, 2016] ISSN: Impact Factor: 3.785

[Ekeocha*, 5(5): May, 2016] ISSN: Impact Factor: 3.785 IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY OPTIMIZATION OF COST 231 MODEL FOR 3G WIRELESS COMMUNICATION SIGNAL IN SUBURBAN AREA OF PORT HARCOURT, NIGERIA Akujobi Ekeocha

More information

Multi-beam Antenna Combining for 28 GHz Cellular Link Improvement in Urban Environments

Multi-beam Antenna Combining for 28 GHz Cellular Link Improvement in Urban Environments Multi-beam Antenna Combining for 28 GHz Cellular Link Improvement in Urban Environments Shu Sun NYU WIRELESS Polytechnic Institute of New York University, Brooklyn, NY 11201 USA ss7152@nyu.edu Theodore

More information

AN021: RF MODULES RANGE CALCULATIONS AND TEST

AN021: RF MODULES RANGE CALCULATIONS AND TEST AN021: RF MODULES RANGE CALCULATIONS AND TEST We Make Embedded Wireless Easy to Use RF Modules Range Calculation and Test By T.A.Lunder and P.M.Evjen Keywords Definition of Link Budget, Link Margin, Antenna

More information

Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs)

Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs) Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Title: [Considerations of frequency resources for fast moving mobile backhaul] Date Submitted: [7 JAN, 2015] Source: [Minsoo

More information

Analysis of kurtosis-based LOS/NLOS Identification based on indoor MIMO Channel Measurements

Analysis of kurtosis-based LOS/NLOS Identification based on indoor MIMO Channel Measurements Post-print of: Zhang, J., Salmi, J. and Lohan, E-S. Analysis of kurtosis-based LOS/NLOS identification using indoor MIMMO channel measurement in IEEE transactions on vehicular technology, vol. 62, no.

More information

COMPARISON OF RADIO PROPAGATION CHARACTERISTICS AT 700 AND 2,500 MHz PERTAINING TO MACROCELLULAR COVERAGE

COMPARISON OF RADIO PROPAGATION CHARACTERISTICS AT 700 AND 2,500 MHz PERTAINING TO MACROCELLULAR COVERAGE Page 1 of 32 COMPARISON OF RADIO PROPAGATION CHARACTERISTICS AT 700 AND 2,500 MHz PERTAINING TO MACROCELLULAR COVERAGE Communications Research Centre Canada Ottawa, April 2011 Prepared for: Bell Canada

More information

IJESRT. Scientific Journal Impact Factor: (ISRA), Impact Factor: 2.114

IJESRT. Scientific Journal Impact Factor: (ISRA), Impact Factor: 2.114 IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY PATH LOSS PROPAGATION MODEL PREDICTION FOR GSM MOBILE NETWORK PLANNING IN KADUNA TOWN Dominic S. Nyitamen*, Musa Ahmed, Tonga

More information

Aalborg Universitet. Published in: 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)

Aalborg Universitet. Published in: 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring) Aalborg Universitet Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios Sun, Shu; Rappaport, Theodore S.; Rangan, Sundeep; Thomas, Timothy; Ghosh, Amitava; Kovacs, Istvan; Rodriguez

More information

Path Loss Prediction in Wireless Communication System using Fuzzy Logic

Path Loss Prediction in Wireless Communication System using Fuzzy Logic Indian Journal of Science and Technology, Vol 7(5), 64 647, May 014 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 Path Loss Prediction in Wireless Communication System using Fuzzy Logic Sanu Mathew

More information

Propagation Path Loss Measurements for Wireless Sensor Networks in Sand and Dust Storms

Propagation Path Loss Measurements for Wireless Sensor Networks in Sand and Dust Storms Frontiers in Sensors (FS) Volume 4, 2016 doi: 10.14355/fs.2016.04.004 www.seipub.org/fs Propagation Path Loss Measurements for Wireless Sensor Networks in Sand and Dust Storms Hana Mujlid*, Ivica Kostanic

More information

Propagation Path Loss Models for 5G Urban Microand Macro-Cellular Scenarios

Propagation Path Loss Models for 5G Urban Microand Macro-Cellular Scenarios S. Sun et al., Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios, submitted to 2016 IEEE 83rd Vehicular Technology Conference (VTC2016-Spring), May. 2016. Propagation Path Loss

More information

The Wireless Communication Channel. Objectives

The Wireless Communication Channel. Objectives The Wireless Communication Channel muse Objectives Understand fundamentals associated with free space propagation. Define key sources of propagation effects both at the large and small scales Understand

More information

Statistical Analysis of On-body Radio Propagation Channel for Body-centric Wireless Communications

Statistical Analysis of On-body Radio Propagation Channel for Body-centric Wireless Communications 374 PIERS Proceedings, Stockholm, Sweden, Aug. 12 15, 2013 Statistical Analysis of On-body Radio Propagation Channel for Body-centric Wireless Communications H. A. Rahim 1, F. Malek 1, N. Hisham 1, and

More information

The Wider Impacts Sub-Objective TAG Unit

The Wider Impacts Sub-Objective TAG Unit TAG Unit 3.5.14 DRAFT FOR CONSULTATION September 2009 Department or Transport Transport Analysis Guidance (TAG) This Unit is part o a amily which can be accessed at www.dt.gov.uk/webtag/ Contents 1 The

More information

Hata-Okumura Model Computer Analysis for Path Loss Determination at 900MHz for Maiduguri, Nigeria

Hata-Okumura Model Computer Analysis for Path Loss Determination at 900MHz for Maiduguri, Nigeria Hata-Okumura Model Computer Analysis for Path Loss Determination at 900MHz for Maiduguri, Nigeria Abraham Deme 1,2*, Danjuma Dajab 2, Buba Bajoga 2, Mohammed Mu azu 2, Davou Choji 3 1. ICT Directorate,

More information

Link Budget Calculation. Ermanno Pietrosemoli Marco Zennaro

Link Budget Calculation. Ermanno Pietrosemoli Marco Zennaro Link Budget Calculation Ermanno Pietrosemoli Marco Zennaro Goals To be able to calculate how far we can go with the equipment we have To understand why we need high masts for long links To learn about

More information

Distance Dependence of Path Loss for Millimeter Wave Inter-Vehicle Communications

Distance Dependence of Path Loss for Millimeter Wave Inter-Vehicle Communications 8 S. TAKAHASHI ET AL., DISTANCE DEPENDENCE OF PATH LOSS FOR INTER-VEHICLE COMMUNICATIONS Distance Dependence of Path Loss for Millimeter Wave Inter-Vehicle Communications Satoshi TAKAHASHI, Akihito KATO,

More information

White Paper: Comparison of Narrowband and Ultra Wideband Channels. January 2008

White Paper: Comparison of Narrowband and Ultra Wideband Channels. January 2008 White Paper: Comparison of Narrowband and Ultra Wideband Channels January 28 DOCUMENT APPROVAL: Author signature: Satisfied that this document is fit for purpose, contains sufficient and correct detail

More information

Path Loss at the Exact Location of TV inside Residences using Digital Terrestrial Television Signal at 677 MHz

Path Loss at the Exact Location of TV inside Residences using Digital Terrestrial Television Signal at 677 MHz Path Loss at the Exact Location of TV inside Residences using Digital Terrestrial Television Signal at 677 MHz Jennifer C. Dela Cruz, Felicito S. Caluyo Abstract This paper presents the results of in propagation

More information

COMPARATIVE ANALYSIS OF PATH LOSS PREDICTION MODELS FOR URBAN MACROCELLULAR ENVIRONMENTS

COMPARATIVE ANALYSIS OF PATH LOSS PREDICTION MODELS FOR URBAN MACROCELLULAR ENVIRONMENTS COMPARATIVE ANALYSIS OF PATH LOSS PREDICTION MODELS FOR URBAN MACROCELLULAR ENVIRONMENTS A. Obot a, O. Simeon b, J. Afolayan c Department of Electrical/Electronics & Computer Engineering, University of

More information

EE Large Scale Path Loss Log Normal Shadowing. The Flat Fading Channel

EE Large Scale Path Loss Log Normal Shadowing. The Flat Fading Channel EE447- Large Scale Path Loss Log Normal Shadowing The Flat Fading Channel The channel functions are random processes and hard to characterize We therefore use the channel correlation functions Now assume:

More information

Millimeter Wave Wireless Communications: New Results for Rural Connectivity

Millimeter Wave Wireless Communications: New Results for Rural Connectivity Millimeter Wave Wireless Communications: New Results for Rural Connectivity George R. MacCartney, Jr., Shu Sun, Theodore S. Rappaport, Yunchou Xing, Hangsong Yan, Jeton Koka, Ruichen Wang, and Dian Yu

More information

INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET)

INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET) INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET) International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN 0976 6464(Print),

More information

Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area

Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area American Journal of Software Engineering and Applications 2017; 6(3): 93-98 http://www.sciencepublishinggroup.com/j/ajsea doi: 10.11648/j.ajsea.20170603.16 ISSN: 2327-2473 (Print); ISSN: 2327-249X (Online)

More information

Aalborg Universitet. Published in: 2015 IEEE Globecom Workshops (GC Wkshps) DOI (link to publication from Publisher): /GLOCOMW.2015.

Aalborg Universitet. Published in: 2015 IEEE Globecom Workshops (GC Wkshps) DOI (link to publication from Publisher): /GLOCOMW.2015. Aalborg Universitet Path Loss, Shadow Fading, and Line-Of-Sight Probability Models for 5G Urban Macro- Cellular Scenarios Sun, Shu; Thomas, Timothy; Rappaport, Theodore S.; Nguyen, Huan Cong; Kovács, István;

More information

Computer Simulation of Path Loss Characterization of a Wireless Propagation Model in Kwara State, Nigeria

Computer Simulation of Path Loss Characterization of a Wireless Propagation Model in Kwara State, Nigeria Computer Simulation of Path Loss Characterization of a Wireless Propagation Model in Kwara State, Nigeria K. O. Kadiri Department of Electronics and Electrical Engineering, Federal Polytechnic Offa, Kwara

More information

ISSN: [Chinedu, Nkwachukwu, Cosmas* et al., 6(5): May, 2017] Impact Factor: 4.116

ISSN: [Chinedu, Nkwachukwu, Cosmas* et al., 6(5): May, 2017] Impact Factor: 4.116 IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY DEVELOPMENT OF A PATHLOSS MODEL FOR 3G NETWORKS AT 1.857 GHz IN PORT HARCOURT NIGERIA Anyanwu Chinedu *, Chukwuchekwa Nkwachukwu

More information

2015 American Journal of Engineering Research (AJER)

2015 American Journal of Engineering Research (AJER) American Journal of Engineering Research (AJER) e-issn: 2320-0847 p-issn : 2320-0936 Volume-4, Issue-11, pp-109-115 www.ajer.org Research Paper Open Access Comparative Study of Path Loss Models for Wireless

More information

Empirical Characterization of Propagation Path Loss and Performance Evaluation for Co-Site Urban Environment

Empirical Characterization of Propagation Path Loss and Performance Evaluation for Co-Site Urban Environment Empirical Characterization of Propagation Path Loss and Performance Evaluation for Co-Site Urban Environment Okorogu V.N Onyishi D.U Nwalozie G.C Utebor N.N Department of Electronic & Computer Department

More information

Edinburgh Research Explorer

Edinburgh Research Explorer Edinburgh Research Explorer The Distribution of Path Losses for Uniformly Distributed Nodes in a Circle Citation for published version: Bharucha, Z & Haas, H 2008, 'The Distribution of Path Losses for

More information

Statistical Tuning of Hata Model for 3G Communication Networks at GHz in Porth Harcourt, Nigeria

Statistical Tuning of Hata Model for 3G Communication Networks at GHz in Porth Harcourt, Nigeria International Research Journal of Engineering and Technology (IRJET) e-issn: 2395-0056 Statistical Tuning of Hata Model for 3G Communication Networks at 1.857 GHz in Porth Harcourt, Nigeria Nkwachukwu

More information

A Computationally Inexpensive Radio Propagation Model for Vehicular Communication on Flyovers and Inside Underpasses

A Computationally Inexpensive Radio Propagation Model for Vehicular Communication on Flyovers and Inside Underpasses KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS VOL. 10, NO. 9, Sep. 2016 4123 Copyright c2016 KSII A Computationally Inexpensive Radio Propagation Model for Vehicular Communication on Flyovers and

More information

Real-Time Path Loss Modelling for a More Robust Wireless Performance

Real-Time Path Loss Modelling for a More Robust Wireless Performance Real-Time Path Loss Modelling for a More Robust Wireless Performance Q. Braet 1, D. Plets 1, W. Joseph 1, L. Martens 1 1 Information Technology Department, Ghent University/iMinds Gaston Crommenlaan 8,

More information

SAMPLE DESIGN APPENDIX A

SAMPLE DESIGN APPENDIX A SAMPLE DESIGN APPENDIX A A.1 SAMPLE SIZE AND ALLOCATION The Armenia Demographic and Health Survey (ADHS) required a nationally representative sample o women age 15-49 and men age 15-54. The sample was

More information

ECE 5325/6325: Wireless Communication Systems Lecture Notes, Fall Link Budgeting. Lecture 7. Today: (1) Link Budgeting

ECE 5325/6325: Wireless Communication Systems Lecture Notes, Fall Link Budgeting. Lecture 7. Today: (1) Link Budgeting ECE 5325/6325: Wireless Communication Systems Lecture Notes, Fall 2011 Lecture 7 Today: (1) Link Budgeting Reading Today: Haykin/Moher 2.9-2.10 (WebCT). Thu: Rap 4.7, 4.8. 6325 note: 6325-only assignment

More information

Near Ground Path Loss Prediction for UMTS 2100 MHz Frequency Band Over Propagating Over a Smooth-Earth Terrain

Near Ground Path Loss Prediction for UMTS 2100 MHz Frequency Band Over Propagating Over a Smooth-Earth Terrain International Journal of Theoretical and Applied Mathematics 2017; 3(2): 70-76 http://www.sciencepublishinggroup.com/j/ijtam doi: 10.11648/j.ijtam.20170302.14 Near Ground Path Loss Prediction for UMTS

More information

Mobile and Wireless Compu2ng CITS4419 Week 2: Wireless Communica2on

Mobile and Wireless Compu2ng CITS4419 Week 2: Wireless Communica2on Mobile and Wireless Compu2ng CITS4419 Week 2: Wireless Communica2on Rachel Cardell- Oliver School of Computer Science & So8ware Engineering semester- 2 2018 MoBvaBon (for CS students to study radio propagabon)

More information

Wireless communication for Smart Buildings Kortrijk, 07/04/2017

Wireless communication for Smart Buildings Kortrijk, 07/04/2017 Wireless communication for Smart Buildings Kortrijk, 07/04/2017 Smart Buildings: What for? Access control Smart HVAC management Smart light management Indoor location Room management (occupancy / reservation

More information

Application of Artificial Neural Network For Path Loss Prediction In Urban Macrocellular Environment

Application of Artificial Neural Network For Path Loss Prediction In Urban Macrocellular Environment American Journal of Engineering Research (AJER) e-issn : 2320-0847 p-issn : 2320-0936 Volume-03, Issue-02, pp-270-275 www.ajer.org Research Paper Open Access Application of Artificial Neural Network For

More information

Indoor Propagation Models

Indoor Propagation Models Indoor Propagation Models Outdoor models are not accurate for indoor scenarios. Examples of indoor scenario: home, shopping mall, office building, factory. Ceiling structure, walls, furniture and people

More information

Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs)

Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs) Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Title: Channel Model for Intra-Device Communications Date Submitted: 15 January 2016 Source: Alexander Fricke, Thomas Kürner,

More information

On Predicting Large Scale Fading Characteristics with the MR-FDPF Method

On Predicting Large Scale Fading Characteristics with the MR-FDPF Method On Predicting Large Scale Fading Characteristics with the MR-FDPF Method Meiling Luo, Nikolai Lebedev, Guillaume Villemaud, Guillaume De La Roche, Jie Zhang, Jean-Marie Gorce To cite this version: Meiling

More information

I. INTRODUCTION II. COVERAGE AREA

I. INTRODUCTION II. COVERAGE AREA Analysis of Large Scale Propagation Models & RF Coverage Estimation Purnima K. Sharma Doctoral candidate UTU, Dehradun (India) R.K.Singh Professor (OSD) UTU, Dehradun (India) Abstract The main task in

More information

IJEETC. InternationalJournalof. ElectricalandElectronicEngineering& Telecommunications.

IJEETC. InternationalJournalof. ElectricalandElectronicEngineering& Telecommunications. IJEETC www.ijeetc.com InternationalJournalof ElectricalandElectronicEngineering& Telecommunications editorijeetc@gmail.com oreditor@ijeetc.com Int. J. Elec&Electr.Eng&Telecoms. 2015 Ranjeeta Verma and

More information

Experimental Analysis of Cellular Outdoor Propagation at 1800 MHz over Dense Urban Regions of Ghaziabad

Experimental Analysis of Cellular Outdoor Propagation at 1800 MHz over Dense Urban Regions of Ghaziabad Experimental Analysis of Cellular Outdoor Propagation at 1 MHz over Dense Urban Regions of Ghaziabad Ranjeeta Verma #1, Garima Saini #2, Chhaya Dalela *3 1, 2 Electronics and Communication Engineering,

More information

S12-4 A STUDY ON THE DEVELOPMENT OF A COST MODEL BASED ON THE OWNER S DECISION MAKING AT THE EARLY STAGES OF A CONSTRUCTION PROJECT

S12-4 A STUDY ON THE DEVELOPMENT OF A COST MODEL BASED ON THE OWNER S DECISION MAKING AT THE EARLY STAGES OF A CONSTRUCTION PROJECT S2-4 A STUDY ON THE DEVELOPMENT OF A COST MODEL BASED ON THE OWNER S DECISION MAKING AT THE EARLY STAGES OF A CONSTRUCTION PROJECT Choong-Wan Koo, Sang H.Park 2, Joon-oh Seo 3, TaeHoon Hong 4, and ChangTaek

More information

PATH LOSS PREDICTION FOR GSM MOBILE NETWORKS FOR URBAN REGION OF ABA, SOUTH-EAST NIGERIA

PATH LOSS PREDICTION FOR GSM MOBILE NETWORKS FOR URBAN REGION OF ABA, SOUTH-EAST NIGERIA Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 3, Issue., February 014,

More information

Development of Propagation Path Loss Prediction Model for Mobile Communications Network Deployment in Osogbo, Nigeria

Development of Propagation Path Loss Prediction Model for Mobile Communications Network Deployment in Osogbo, Nigeria Development of Propagation Path Loss Prediction Model for Mobile Communications Network Deployment in Osogbo, Nigeria Hammed Lasisi, Yinusa A. Adediran, and Anjolaoluwa A. Ayodele Abstract Path loss, a

More information

A Measurement-Based Model For The Analysis Of Pathloss In A Given Geographical Area

A Measurement-Based Model For The Analysis Of Pathloss In A Given Geographical Area A Measurement-Based Model For The Analysis Of Pathloss In A Given Geographical Area Nwaokoro A. A. Department of Electrical and Electronic Engineering Federal University of Technology Owerri, Nigeria Emerole

More information

Probability distributions relevant to radiowave propagation modelling

Probability distributions relevant to radiowave propagation modelling Rec. ITU-R P.57 RECOMMENDATION ITU-R P.57 PROBABILITY DISTRIBUTIONS RELEVANT TO RADIOWAVE PROPAGATION MODELLING (994) Rec. ITU-R P.57 The ITU Radiocommunication Assembly, considering a) that the propagation

More information

Pathloss and Link Budget From Physical Propagation to Multi-Path Fading Statistical Characterization of Channels. P r = P t Gr G t L P

Pathloss and Link Budget From Physical Propagation to Multi-Path Fading Statistical Characterization of Channels. P r = P t Gr G t L P Path Loss I Path loss L P relates the received signal power P r to the transmitted signal power P t : P r = P t Gr G t L P, where G t and G r are antenna gains. I Path loss is very important for cell and

More information

Quantitative Results for a Qualitative Investor Model A Hybrid Multi-Agent Model with Social Investors

Quantitative Results for a Qualitative Investor Model A Hybrid Multi-Agent Model with Social Investors Quantitative Results or a Qualitative Investor Model A Hybrid Multi-Agent Model with Social Investors Stephen Chen, Brenda Spotton Visano, and Michael Lui Abstract A standard means o testing an economic/inancial

More information

Path Loss Model Using Geographic Information System (GIS)

Path Loss Model Using Geographic Information System (GIS) International Journal of Engineering and Technology Volume 3 No. 3, March, 2013 Path Loss Model Using Geographic Information System (GIS) Biebuma, J.J, Omijeh. B.O Department of Electrical/Electronic Engineering,

More information

Research Article A Semianalytical PDF of Downlink SINR for Femtocell Networks

Research Article A Semianalytical PDF of Downlink SINR for Femtocell Networks Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume, Article ID 5637, 9 pages doi:.55//5637 Research Article A Semianalytical PDF of Downlink SINR for Femtocell

More information

The Morningstar Category Average Methodology

The Morningstar Category Average Methodology ? The Morningstar Category Average Methodology Morningstar Research 31 August 2017 Contents 1 Introduction 1 Construction Methodology Calculation Methodology 2 Monthly, Quarterly, and Annual 4 Daily Return

More information

Free Space Path Loss of UWB Communications

Free Space Path Loss of UWB Communications Free Spae Path Loss of UWB Communiations Pihaya Supanakoon 1, Sathit Aroonpraparat 1, Sathaporn Promwong 1 and Jun-ihi Takada 1 Department of Information Engineering, Faulty of Engineering, King Mongkut

More information

900 MHz PATH LOSS MEASUREMENTS AND PREDICTION TECHNIQUES FOR IN-BUILDING COMMUNICATION SYSTEM DESIGN. Scott Y. Seidel and Theodore S.

900 MHz PATH LOSS MEASUREMENTS AND PREDICTION TECHNIQUES FOR IN-BUILDING COMMUNICATION SYSTEM DESIGN. Scott Y. Seidel and Theodore S. ':\ 'J L v rc.-- qj {y\_~()d>qj 9 MHz PATH LOSS MEASUREMENTS AND PREDICTION TECHNIQUES FOR IN-BUILDING COMMUNICATION SYSTEM DESIGN Scott Y. Seidel and Theodore S. Rappaport Mobile and Portable Radio Research

More information

The Impact of Fading on the Outage Probability in Cognitive Radio Networks

The Impact of Fading on the Outage Probability in Cognitive Radio Networks 1 The Impact of Fading on the Outage obability in Cognitive Radio Networks Yaobin Wen, Sergey Loyka and Abbas Yongacoglu Abstract This paper analyzes the outage probability in cognitive radio networks,

More information

Er. Neha Sharma and Dr. G.C.Lall HCTM, Kaithal(affiliated to KUK, Haryana, India)

Er. Neha Sharma and Dr. G.C.Lall HCTM, Kaithal(affiliated to KUK, Haryana, India) Enhance Study on Indoor RF Models: based on Two Residential Areas Er. Neha Sharma and Dr. G.C.Lall HCTM, Kaithal(affiliated to KUK, Haryana, India) Abstract Indoor Propagation modeling is demanded for

More information