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The IUP Journal of Telecommunications
Matlab Modeling and Simulation of a WiMAX System
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This paper addresses physical layer modeling of all the necessary features of 802.16 (d) Worldwide Interoperability for Microwave Access (WiMAX) system. WiMAX system model code has been developed in Matlab to simulate and analyze the performance of a system. Bit Error Rate (BER) performance of the system is analyzed over Additive White Gaussian Noise (AWGN) channel and Rayleigh faded multipath channel. Rayleigh faded channel is modeled using Jakes' sum-of-sinusoids method and Pilot-based channel estimation is employed. Recursive Systematic Convolution (RSC) turbo code is included in the modeling to improve the BER performance.

 
 

Worldwide Interoperability for Microwave Access (WiMAX) (Andrews et al., 2007; and Syes and Mohammed, 2008) is a new wireless technology that provides high throughput broadband connection over long distances based on IEEE 802.16 wireless MAN air interface standard. The driving force behind the development of the WiMAX system has been the desire to satisfy the emerging need for high data rate applications such as voice over IP, video conferencing, interactive gaming, and multimedia streaming (Nuaymi, 2007; Syes and Mohammed, 2008; and Xing et al., 2008). It is designed to accommodate both fixed and mobile broadband applications. Comparing WiMAX to Wi-Fi and 3G, the WiMAX has an improved important characteristic, the throughput capabilities of WiMAX depends on the channel bandwidth used. Unlike the 3G systems which have fixed channel bandwidth, WiMAX defines a selectable channel bandwidth from 1.25 MHz to 20 MHz. In WiMAX systems. Much research has been done for different stages such as coding stage (Changlong, 2007; and Salmon and Olivier, 2007). Our investigations are focused on studying the performance of WiMAX using physical layer modeling of the system over Additive White Gaussian Noise (AWGN) channel and Rayleigh faded channel for all possible digital modulation schemes supported. Bit Error Rate (BER) performance is compared after including turbo coding in the system.

The paper first describes the physical layer of the WiMAX, followed by a description of channel modeling, channel estimation scheme, turbo codes and Maximum a-posteriori Probability (MAP) decoding. Finally before concluding, the paper presents the simulation results.

 
 

Telecommunications Journal, Matlab Modeling, Simulation of a WiMAX System, Recursive Systematic Convolution, Worldwide Interoperability for Microwave Access, Mobile Broadband Applications, Digital Modulation Schemes, Multimedia Streaming, Orthogonal Frequency Division Multiplexing, Inverse Fast Fourier Transform, Rayleigh Fading Channel.