EVALUATION AND PERFORMANCE ANALYSIS OF PROPAGATION MODELS FOR WIMAX

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1 EVALUATION AND PERFORMANCE ANALYSIS OF PROPAGATION MODELS FOR WIMAX Md. Sipon Miah, M Mahbubur Rahman, Bikash Chandra Singh & Ashraful Islam Abstract Worldwide Interoperability for Microwave Access (WiMAX) is the latest broadband wireless technology for terrestrial broadcast services in Metropolitan Area Networks (MANs). WiMAX has potential success in its line-ofsight (LOS) and non line-of-sight (NLOS) conditions which operating below 11 GHz frequency. Estimation of path loss is very important in initial deployment of wireless network and cell planning. Numerous path loss (PL) models (e.g. Okumura Model, Hata Model) are available to predict the propagation loss, but they are inclined to be limited to the lower frequency bands (up to 2 GHz. In this paper, we compare and analyze five path loss models (i.e. COST 231 Hata model, ECC-33 model, SUI model, Ericsson model and COST 231 Walfish-Ikegami model) in different receiver antenna heights in urban, suburban and rural environments in NLOS condition. We consider Bangladesh as three regions such: Urban, Suburban, flat area and use operating frequency 2.5 GHz. My observation shows that none of a single propagation model is well suited for all environments. SUI model showed the lowest prediction in urban environment. ECC-33 model showed the heights path loss and also showed huge fluctuations due to change of receiver In suburban, SUI model predict the lowest path loss in this terrain with little bit flections at changes of receiver antenna heights. COST- Hata model showed the moderate result and ECC- 33 model showed the same path loss as like as urban environment because of same parameters are used in the simulation. In flat or rural, COST 231 Hata model showed the lowest path loss. Index Terms MANs, PL, SUI, NLOS, and LOS. 1 INTRODUCTION OW days people are enjoying wireless internet access N for telephony, radio and television services when they are in fixed, mobile or nomadic conditions. The rapid growth of wireless internet causes a demand for highspeed access to the World Wide Web. The IEEE working group brought out a new broadband wireless access technology called WiMAX meaning Worldwide Interoperability for Microwave Access. It was introduced by the IEEE working group to facilitate broadband services on areas where cable infrastructure is inadequate. It is easy to install and cheap. It provides triple play applications i.e. voice, data and video for fixed, mobile and nomadic applications. The key features of WiMAX including higher bandwidth, wider range and area coverage, its robust flexibility on application and Quality of Services (QoS) attract the investors for the business scenarios. Broadband Wireless Access (BWA) systems have potential operation benefits in Line-of-sight (LOS) and Non-line-of-sight (NLOS) conditions, operating below 11 GHz frequency. During the initial phase of network planning, propagation models are extensively used for conducting feasibility studies. Propagation models are used for calculation of electromagnetic field strength for the purpose of wireless network planning during preliminary deployment. It describes the signal attenuation from transmitter to receiver antenna as a function of distance, carrier frequency, antenna heights and other significant parameters like terrain profile (e.g. urban, suburban and rural). Different models are used to calculate the path loss. There are numerous propagation models available to predict the path loss (e.g. Okumura Model, Hata Model), but they are inclined to be limited to the lower frequency bands (up to 2 GHz). In this thesis we compare and analyze five path loss models (e.g. COST 231 Hata model, ECC-33 model, SUI model, Ericsson model and COST 231 Walfish-Ikegami (W-I) model) which have been proposed for frequency at 2.5 GHz in urban and suburban and rural environments in different receiver antenna heights. 2 RELATED WORKS Models such as the Harald.T. Friis free space model are used to predict the signal power at the receiver end when transmitter and receiver have line-of-sight condition. The classical Okumura model is used in urban, suburban and rural areas for the frequency range 200 MHz to 1920 MHz for initial coverage deployment. A developed version of Okumura model is Hata-Okumura model known as Hata model which is also extensively used for the frequency range 150 MHz to 2000 MHz in a build up area. Several performance evaluation and analysis have been presented in the literature. Comparison of path loss models for 3.5 GHz has been investigated by many researchers in many respects. In Cambridge, UK from September to December 2003 [1], the FWA network researchers investigated some empirical propagation models in different terrains as function of antenna height 16

2 parameters. Another measurement was taken by considering LOS and NLOS conditions at Osijek in Croatia during spring 2007 [2]. Coverage and throughput prediction were considered to correspond to modulation techniques in Belgium [3]. September 1981, M. Hata, investigate some empirical formula for propagation loss in land mobile radio services in Sweden [4]. In [5], Path loss models have also been used and a comparison between these models and the collected data has been performed. In this paper, different receiver antennas have been used during the measurement campaign and the results have been compared. In [6], this paper describes various accurate path loss prediction methods used both in rural and urban environments. The Walfisch-Bertoni and Hata models, which are both used for UHF propagation in urban areas, were chosen for a detailed comparison. The comparison shows that the Walfisch-Bertoni model, which involves more parameters, agrees with the Hata model for the overall path loss. In Malaysia, May 2007, this paper deals with the performance of WiMAX networks in an Outdoor environment using the SUI channel models [7]. 3 GENERAL CONCEPTS OF WIMAX To take the edge off the dream to access broadband internet anywhere-anytime, the IEEE formed a working group called IEEE to make standards for wireless broadband in Metropolitan Area Network (MAN). The working group introduced a series of standards for fixed and mobile broadband internet access known by the name WiMAX. This name is given by the WiMAX Forum (an industry alliance responsible for certifying WiMAX products based on IEEE standards). In this chapter, we discussed on IEEE family and some important features of WiMAX. WiMAX is the abbreviation of Worldwide Interoperability for Microwave Access and is based on Wireless Metropolitan Area Networking (WMAN). The WMAN standard has been developed by the IEEE group which is also adopted by European Telecommunication Standard Institute (ETSI) in High Performance Radio Metropolitan Area Network, i.e., the HiperMAN group. The main purpose of WiMAX is to provide broadband facilities by using wireless communication. WiMAX is also known as Last Mile broadband wireless access technology. In December 2001, the standard was approved to use 10 GHz to 66 GHz for broadband wireless for point to multipoint transmission in LOS condition. It employs a single career physical (PHY) layer standard with burst Time Division Multiplexing (TDM) on Medium Access Control (MAC) layer [10]. In January 2003, another standard was introduced by the working group called, IEEE a, for NLOS condition by changing some previous amendments in the frequency range of 2 GHz to 11GHz. By replacing all previous versions, the working group introduced a new standard, IEEE , which is also called as IEEE d or Fixed WiMAX. Another standard IEEE e-2005 approved IRACST - International Journal of Advanced Computing, Engineering and Application (IJACEA), Vol. 1, No.1, 2012 and launched in December 2005, aims for supporting the mobility concept. This new version is derived after some modifications of previous standard. It introduced mobile WiMAX to provide the services of nomadic and mobile users. Nowadays, WiMAX is the solution of last mile wireless broadband. It provided an enhanced set of features with flexibility in terms of potential services. Interoperable is the important objective of WiMAX. It consists of international, vendor-neutral standards that can ensure seamless connection for end-user to use their subscriber station and move at different locations. Interoperability can also save the initial investment of an operator from choice of equipments from different vendors. WiMAX gives significant bandwidth to the users. It has been using the channel bandwidth of 10 MHz and better modulation technique (64-QAM). It also provides better bandwidth than Universal Mobile Telecommunication System (UMTS) and Global System for Mobile communications (GSM). WiMAX systems are capable to serve larger geographic coverage areas, when equipments are operating with low-level modulation and high power amplifiers. It supports the different modulation technique constellations, such as BPSK, QPSK, 16-QAM and 64-QAM. The modern cellular systems, when WiMAX Subscribers Station (SS) is getting power, then it identifies itself and determines the link type associate with Base Station (BS) until the SS will register with the system database. WiMAX consist of OFDM technology which handles the NLOS environments. It provide higher encryption standard such as Triple- Data Encryption Algorithm (DES) and Advanced Encryption Standard (AES). It encrypts the link from the base station to subscriber station providing users confidentiality, integrity, and authenticity. WiMAX provides multiple architectures such as Point-to-Multipoint Ubiquitous Coverage Point-to-Point WiMAX physical layer consist of OFDM that offer good resistance to multipath. It permits WiMAX to operate NLOS scheme. Nowadays OFDM is highly understood for mitigating multipath for broadband wireless. WiMAX has a capability of getting high peak data rate. WiMAX provides a lot of modulation and forward error correction (FEC) coding schemes adapting to channel conditions. WiMAX has enhanced reliability. It provided Automatic Repeat Requests (ARQ) at the link layer. ARQ-require the receiver to give acknowledge for each packet. WiMAX MAC layer has been designing to support multiple types of applications and users with multiple connections per terminal such as multimedia and voice services. The system provides constant, variable, realtime, and non-real-time traffic flow. WiMAX network architecture is based on all IP platforms. Every end-toend services are given over the Internet Protocol (IP). The IP processing of WiMAX is easy to conversance with other networks and has the good feedback for application development is based on IP. Frequency band 17

3 has a major consequence on the dimension and planning of the wireless network. We choose 2.5 GHz band in our studies because it is widely used band all over the world. Moreover, this band is licensed, so that interfere is under control and allows using higher transmission power. Furthermore, it supports the NLOS condition and better range and coverage than 2.5 GHz and 5.8 GHz. 4 BASIC PRINCIPLE OF PROPAGATION MODELS 4.1 Types of Propagation Models Propagation analysis is very important in evaluating the signal characteristics. The site measurements are expensive and costly. Propagation models have been developed as low cost, convenient alternative and suitable way. In our thesis, we analyze five different models. We consider free space path loss model which is most commonly used idealistic model. We take it as our reference model; so that it can be realized how much path loss occurred by the others proposed models. Models for path loss can be categorized into three types 1. Empirical Models 2. Deterministic Models 3. Stochastic Models 4.2 Free Space Path Loss Model (FSPL) In telecommunication, free-space path loss (FSPL) is the loss in signal strength of an electromagnetic wave that would result from a line-of-sight path through free space, with no obstacles nearby to cause reflection or diffraction. Free-space path loss is proportion to the square of the distance between the transmitter and receiver, and also proportional to the square of the frequency of the radio signal. The equation for FSPL is 1 : is the signal wavelength (in metres), is the signal frequency (in hertz), is the distance from the transmitter (in metres), is the speed of light in a vacuum, metres per second. This equation is only accurate in the far field; it does not hold close to the transmitter.if the separation d is continually decreased, eventually the received power appears greater than the transmitted power which is [obviously] impossible in reality, since free space is not an amplifier. Free-space path loss in decibels A convenient way to express FSPL is in terms of db: 2 the units are as before. For typical radio applications, it is common to find f measured in units of MHz and d in km, in which case the equation becomes 3 For d in statute miles, the constant becomes Okumura Model The Okumura model is a well known classical empirical model to measure the radio signal strength in build up areas. This model is perfect for using in the cities having dense and tall structure. Moreover, Okumura gives an illustration of correction factors for suburban and rural or open areas. By using Okumura model we can predict path loss in urban, suburban and rural area up to 3 GHz. Our field of studies is 2.5 GHz. We provided this model as a foundation of Hata-Okumura model. Median path loss model can be expressed as: 4 : Median path loss [db] : Free space path loss [db] : Median attenuation relative to free space [db] : Base station antenna height gain factor [db] : Mobile station antenna height gain factor [db] : Gain due to the type of environment [db] And parameters : Frequency [MHz] : Transmitter antenna height [m] : Receiver antenna height [m] : Distance between transmitter and receiver antenna [km] Attenuation and gain terms are given in: COST 231 Hata Model 18

4 The Hata model is introduced as a mathematical expression to mitigate the best fit of the graphical data provided by the classical Okumura model. Hata model is used for the frequency range of 150 MHz to 1500 MHz to predict the median path loss for the distance d from transmitter to receiver antenna up to 20 km, and transmitter antenna height is considered 30 m to 200 m and receiver antenna height is 1 m to 10 m. To predict the path loss in the frequency range 1500 MHz to 2000 MHz. COST 231 Hata model is initiated as an extension of Hata model. The basic path loss equation for this COST-231 Hata Model can be expressed as: PL = log 10 (f) log 10 (h b ) ah m + ( log 10 (h b )) log 10 d + c m 6 where d : Distance between transmitter and receiver antenna [km] f : Frequency [MHz] h b : Transmitter antenna height [m] The parameter c m has different values for different environments like 0 db for suburban and 3 db for urban areas and the remaining parameter ah m is defined in urban areas as: ah m = 3.20(log 10 (11.75h r )) for f > 400 MHz 7 The value for ah m in suburban and rural (flat) areas is given as: IRACST - International Journal of Advanced Computing, Engineering and Application (IJACEA), Vol. 1, No.1, 2012 : Wavelength [m] : Correction for frequency above 2 GHz [MHz] : Correction for receiving antenna height [m] : Correction for shadowing [db] : Path loss exponent The random variables are taken through a statistical procedure as the path loss exponent γ and the weak fading standard deviation s is defined. The log normally distributed factor s, for shadow fading because of trees and other clutter on a propagations path and its value is between 8.2 db and 10.6 db. The parameter A is defined as And the path loss exponent γ is given by , the parameter h b is the base station antenna height in meters. This is between 10 m and 80 m. The constants a, b, and c depend upon the types of terrain, that are given in Table 3. The value of parameter γ = 2 for free space propagation in an urban area, 3 < γ < 5 for urban NLOS environment, and γ > 5 for indoor propagation. The frequency correction factor and the correction for receiver antenna height for the model are expressed in ah m = (1.11log 10 f 0.7)h r (1.5 log 10 f 0.8) 8 the is the receiver antenna height in meter. 4.5 Stanford University Interim (SUI) Model IEEE Broadband Wireless Access working group proposed the standards for the frequency band below 11 GHz containing the channel model developed by Stanford University, namely the SUI models. This prediction model comes from the extension of Hata model with frequency larger than 1900 MHz. The correction parameters are allowed to extend this model up to 2.5 GHz band. The base station antenna height of SUI model can be used from 10 m to 80 m. Receiver antenna height is from 2 m to 10 m. The cell radius is from 0.1 km to 8 km. The basic path loss expression of The SUI model with correction factors is presented as: For the parameters are : Distance between BS and receiving antenna [m] : 100 [m] 9, f is the operating frequency in MHz, and h r is the receiver antenna height in meter. For the above correction factors this model is extensively used for the path loss prediction of all three types of terrain in rural, urban and suburban environments. 4.6 Hata-Okumura Extended Model or ECC-33 Model The original Okumura model doesn t provide any data greater than 3 GHz. Based on prior knowledge of Okumura model; an extrapolated method is applied to predict the model for higher frequency greater than 3 GHz. The tentatively proposed propagation model of Hata-Okumura model with report is referred to as ECC- 33 model. In this model path loss is given by 14 : Free space attenuation [db] : Basic median path loss [db] : Transmitter antenna height gain factor

5 : Receiver antenna height gain factor These factors can be separately described and given by as = = log10 (d) [log10(f)] log10 (f) = 17 When dealing with gain for medium cities, the expressed in will be 24 Note that = 18 For large city The multi-screen diffraction loss is = 19 : Distance between transmitter and receiver Antenna [km] : Frequency [GHz] : Transmitter antenna height [m] : Receiver antenna height [m] This model is the hierarchy of Okumura-Hata model. 4.8 COST 231 Walfish-Ikegami (W-I) Model This model is a combination of J. Walfish and F. Ikegami model. This model is most suitable for flat suburban and urban areas that have uniform building height. The equation of the proposed model is expressed in: For LOS condition 20 And for NLOS condition For urban and suburban If Lrst + Lmsd >0 28 = Free space loss = Roof top to street diffraction = Multi-screen diffraction loss Free space loss = Roof top to street diffraction for suburban of medium size cities with moderate tree density fot metropolitan / urban. where : Distance between transmitter and receiver antenna [m] : Frequency [GHz] : Building to building distance [m] : Street width [m] 20

6 : Street orientation angel w.r.t. direct radio path [degree] In our simulation we use the following data, i.e. building to building distance 50 m, street width 25 m, street orientation angel 30 degree in urban area and 40 degree in suburban area and average building height 15 m, base station height 30 m. 4.9 Ericsson Model To predict the path loss, the network planning engineers are used software provided by Ericsson Company is called Ericsson model. This model also stands on the modified Okumura-Hata model to allow room for changing in parameters according to the propagation environment. Path loss according to this model is given by 30 is defined by IRACST - International Journal of Advanced Computing, Engineering and Application (IJACEA), Vol. 1, No.1, 2012 Fig. 1. Simulation for three different process flow chart environments. In this model I have used three different environments (Urban, Suburban and Flat) with different parameter. 5.3 Simulation Parameter The following Table 4.2 presents the parameters we applied in our simulation. Parameters Values Transmitter height antenna Receiver antenna height Operating frequency END 40 m in urban and 30 m in suburban and 20 m in rural area 3 m, 6 m and 10 m 2.5 GHz And parameters : Frequency [MHz] : Transmission antenna height [m] : Receiver antenna height [m] 31 Distance between Tx-Rx Building to building distance Average building height Street width 5 km 50 m 15 m 25 m 5 SIMULATION ENVIRONMENT & MODELS 5.1 Simulation Environment For analyzing the performance of propagation models for WiMAX, I have used MATLAB software package. MATLAB is a software package for high-performance numerical computation and visualization. It provides an interactive environment with hundred of built-in function for technical computation, graphics and animation. Best of all, it also provides easy extensibility with its own highprogramming language. The name MATLAB stands for MATrix LABoratory. 5.2 Simulation Design For evaluating and analyzing the performance of WiMAX propagation models I have used MATLAB simulation. A typical simulation model is shown in fig (4.1). Street orientation angle 30 0 in urban and 40 0 in suburban Correction for shadowing 8.2 db in suburban and rural and 10.6 db in urban area Table 4.1: Simulation parameters 6 PERFORMANCE ANALYSIS & DISCUSSION 6.1 Analysis of simulation results in urban area In our calculation, we set 3 different antenna heights (i.e. 3 m, 6 m and 10 m) for receiver, distance varies from 250 m to 5 km and transmitter antenna height is 40 m. The numerical results for different models in urban area for different receiver antenna heights are shown in the Figure 2, 3 and 4. START Input Parameter Choose Environment Output Path loss Fig. 2. Path loss in urban environment at 3 m receiver 21

7 Urban P a t h l o s s d B ECC-33 COST-Hata ERICSSON SUI COST-WI FSPL Fig. 3. Path loss in urban environment at 6 m receiver Rx height 3m Rx height 6m Rx height 10m Distance at 2.5 km Fig. 5. Analysis of simulation results for urban environment in different receiver 6.2 Analysis of simulation results in Suburban area In our calculation, we set 3 different antenna heights (i.e. 3 m, 6 m and 10 m) for receiver, distance varies from 250 m to 5 km and transmitter antenna height is 30 m. The numerical results for different models in urban area for different receiver antenna heights are shown in the Figure 6, 7 and 8. Fig.4. Path loss in urban environment at 10 m receiver The accumulated results for urban environment are shown in figure 5. Note that SUI model showed the lowest prediction (128 db to 121 db) in urban environment. It also showed the lowest fluctuations compare to other models when we changed the receiver antenna heights. In that case, the ECC-33 model showed the heights path loss (156 db) and also showed huge fluctuations due to change of receiver antenna height. In this model, path loss is decreased when increased the receiver Increase the receiver antenna heights will provide the more probability to find the better quality signal from the transmitter. ECC- 33 model showed the biggest path loss at 10 m receiver Fig. 6. Path loss in suburban environment at 3 m receiver antenna height 22

8 IRACST - International Journal of Advanced Computing, Engineering and Application (IJACEA), Vol. 1, No.1, 2012 Rural Path loss db COST-Hata ERICSSON SUI COST-WI FSPL FSPL Rx height 3m Rx height 6m Rx height 10m Distance at 2.5 km Fig. 7. Path loss in suburban environment at 6 m receiver Fig. 9. Analysis of simulation results for suburban environment in different receiver 6.3 Analysis of simulation results in flat area We set 3 different antenna heights (i.e. 3 m, 6 m and 10 m) for receiver, distance varies from 250 m to 5 km and transmitter antenna height is 20 m. COST 231 W-I model has no specific parameters for rural area, we consider LOS equation provided by this model The numerical results for different models in urban area for different receiver antenna heights are shown in the Figure 10, 11, and 12. Fig. 8. Path loss in suburban environment at 10 m receiver The accumulated results for suburban environment are shown in figure 9. In following chart, it showed that the SUI model predict the lowest path loss (121 db to 116 db) in this terrain with little bit flections at changes of receiver antenna heights. Ericsson model showed the heights path loss (160 db and 158 db) prediction especially at 6 m and 10 m receiver The COST-WI model showed the moderate result with remarkable fluctuations of path loss with-respect-to antenna heights changes. The ECC-33 model showed the same path loss as like as urban environment because of same parameters are used in the simulation. Fig. 10. Path loss in rural environment at 3 m receiver 23

9 Fig. 13. Analysis of simulation results for rural environment in different receiver Fig. 11. Path loss in rural environment at 6 m receiver Fig. 12. Path loss in rural environment at 10 m receiver The accumulated results for rural environment are shown in Figure 13. In this environment COST 231 Hata model showed the lowest path loss (132 db) prediction especially in 10 m receiver COST 231 W-I model showed the flat results in all changes of receiver antenna heights. There are no specific parameters for rural area. In our simulation, we considered LOS equation for this environment (the reason is we can expect line of sight signal if the area is flat enough with less vegetations). Ericsson model showed the heights path loss (154 db to 150 db). Path loss db Rural Distance at 2.5 km COST-Hata ERICSSON SUI COST-WI FSPL FSPL Rx height 3m Rx height 6m Rx height 10m CONCLUSION Our comparative analysis indicate that due to multipath and NLOS environment in urban and suburban area, SUI models experiences lowest path losses compare to flat area. In flat area COST-Hata model provide lowest path loss than SUI model at 10 m receiver Moreover, we did not find any single model that can be recommended for all environments. We can see in urban area (data shown in Figure 5), the SUI model showed the lowest path loss (121 db in 10 m receiver antenna height) as compared to other models. Alternatively, the ECC-33 model showed the heights path loss (156 db in 3 m receiver antenna height). In suburban area (data shown in Figure 9) the SUI model showed quite less path loss (116 db) compared to other models. On the other hand, ECC-33 model showed heights path loss as showed in urban area. Moreover, Ericsson model showed remarkable higher path loss for 6 m and 10 m receiver antenna heights (i.e.160 db and 158 db respectively). In rural area (data shown in Figure 13), we can choose different models for different perspectives. If the area is flat enough with less vegetation, where the LOS signal probability is high, in that case, we may consider LOS calculation. Alternatively, if there is less probability to get LOS signal, in that situation, we can see COST-Hata model showed the less path loss (132 db) compare to SUI model (137 db) and Ericsson model (150 db) especially in 10 m receiver But considering all receiver antenna heights SUI model showed less path loss (148 db in 3 m and 143 db in 6 m) whereas COST-Hata showed higher path loss (154 db in 3m and 144 db in 6 m). If we consider the worst case scenario for deploying a coverage area, we can serve the maximum coverage by using more transmission power, but it will increase the probability of interference with the adjacent area with the same frequency blocks. On the other hand, if we consider less path loss model for deploying a cellular region, it may be inadequate to serve the whole coverage area. Some users may be out of signal in the operating cell especially during mobile condition. So, we have to trade-off between transmission power and adjacent frequency blocks interference while choosing a path loss model for initial deployment. 8 FUTURE WORKS This is a formal ending of very small stage of a never ending process. Nowadays the Worldwide Interoperability of Microwave Access (WiMAX) technology becomes popular and receives growing acceptance as a Broadband Wireless Access (BWA) system. In future, our simulated results can be tested and verified in practical field. We may also derive a 24

10 suitable path loss model for all terrain. Future study can be made for finding more suitable parameters for Ericsson and COST 231 W-I models in rural area. REFERENCES: [1] V.S. Abhayawardhana, I.J. Wassel, D. Crosby, M.P. Sellers, M.G. Brown, Comparison of empirical propagation path loss models for fixed wireless access systems, 61th IEEE Technology Conference, Stockholm, pp , [2] Josip Milanovic, Rimac-Drlje S, Bejuk K, Comparison of propagation model accuracy for WiMAX on 3.5GHz, 14th IEEE International conference on electronic circuits and systems, Morocco, pp [3] Joseph Wout, Martens Luc, Performance evaluation of broadband fixed wireless system based on IEEE , IEEE wireless communications and networking Conference, Las Vegas, NV, v2, pp , April [4] M. Hata, Empirical formula for propagation loss in land mobile radio services, IEEE Transactions on Vehicular Technology, vol. VT-29, pp , September [5] Sara Abelession Propagation measurement at 3.5 GHz for WiMAX March [6] Cem Akkaşlı, Methods for Path loss Prediction October [7] Propagation models for wireless mobile communications D. Vanhoenacker- Janvier,Microwave Lab. UCL, Louvain-la-Neuve, Belgium. [8] T.S Rappaport, Wireless Communications: Principles and Practice, 2n Ed. New delhi: Prentice Hall, 2005 pp [9] Well known propagation model, [Online]. Available: l [Accessed: April 11, 2009] [10] IEEE working group, [Online]. Available: [Accessed: April 11, 2009] [11] Jeffrey G Andrews, Arunabha Ghosh, Rias Muhamed, Fundamentals of WiMAX: understanding Broadband Wireless Networking, Prentice Hall, 2007 [12] WiMAX Forum, Documentation, Technology Whitepapers, [Online]. Available at WiMAX Forum.org: [Accessed: April 18, 2008 [13] Doppler spread, [Online]. Available: [Accessed: April 11, 2009] [14] Electronic Communication Committee (ECC) within the European Conference of Postal and Telecommunication Administration (CEPT), The IRACST - International Journal of Advanced Computing, Engineering and Application (IJACEA), Vol. 1, No.1, 2012 analysis of the coexistence of FWA cells in the GHz band, tech. rep., ECC Report 33, May [15] Rony Kowalski, The Benefits of Dynamic Adaptive Modulation for High Capacity Wireless Backhaul Solutions, Ceragon Networks, [Online]. Available: %20Dynamic%20Adaptive%20Modulation.pdf [Accessed: April 18, 2009]. [16] D. Pareek, The Business of WiMAX, Chapter 2 and Chapter 4, John Wiley, 2006 [17] Empirical Models, [Online] Available: [Accessed April 18, 2009] [18] Simic I. lgor, Stanic I., and Zrnic B., Minimax LS Algorithm for Automatic Propagation Model Tuning, Proceeding of the 9th Telecommunications Forum (TELFOR 2001), Belgrade, Nov.2001 [19] Federal Communications Commission, What is Broadband, [Online]. Available [Accessed: Nov 13, 2008] [20] Kabelfri og mobil IT-systemanvendelse, Standard, [Online]. Available: [Accessed: Nov 27, 2008] [21] WiMAX.com, WiMAX Reference Architecture, [Online]. Available: _weekly/2-6-reference-network-architecturecontin [Accessed: Dec 02, 2008] [22] LigatureSoft, Data Transmission Impairments, [Online]. Available: cations/trans-impairment.html [Accessed:Dec 06, 2008] Md. Sipon Miah received the Bachelor s and Master s Degree in the Department of Information and Communication Engineering from Islamic University, Kushtia, in 2006 and 2007, respectively. He is courrently Lecturer in the department of ICE, Islamic University, Kushtia-7003, Bangladesh. Since 2003, he has been a Research Scientist at the Communication Research Laboratory, Department of ICE, Islamic University, Kushtia, where he belongs to the spread-spectrum research group. He is pursuing research in the area of internetworking in wireless communication. He has ten published paper in international and two national journals in the same areas. His areas of interest. Include database system, optical fiber communication, Spread Spectrum and mobile communication. M. Mahbubur Rahman received the Bachelor s and Master s Degree in Physics, Rajshahi University, in 1983, 1994 and PhD degree in Computer Science & Engineering in He is courrently Professor in the department of ICE, Islamic University, Kushtia-7003, Bangladesh. He has twenty four published papers in international and national journals. His areas of interest include internetworking, AI & mobile communication. Bikash Chandran Singh received the Bachelor s and 25

11 Master s Degree in Information and Communication Engineering from Islamic University, Kushtia, in 2005 and 2007, respectively. He is courrently Lecturer in the department of ICE, Islamic University, Kushtia-7003, Bangladesh. His areas of interest including database, optical fiber communication & multimedia. Ashraful Islam received the Bachelor s Degree and M.SC in Information and Communication Engineering from Islamic University, Kushtia, in 2008 and 2009 respectively. He was completed M.Sc student in the department of ICE, Islamic University, Kushtia-7003, Bangladesh. He is currently Assistant Programmer in Bangladesh Computer Council, Dhaka. 26

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