Performance Evaluation of Wimax Physical Layer under Adaptive Modulation Techniques and Communication Channels

TL;DR

This paper evaluates Wimax physical layer performance using various modulation schemes and channels, demonstrating that interleaved Reed Solomon and convolutional coding with BPSK significantly improve error rates and audio signal retrieval in noisy environments.

Contribution

It provides a comprehensive performance analysis of Wimax systems with different coding and modulation combinations over various channels, highlighting effective coding strategies.

Findings

Interleaved RS coding with convolutional coding reduces BER significantly.

BPSK modulation with combined coding performs best under noisy conditions.

Audio signals are effectively recovered despite channel noise.

Abstract

Wimax (Worldwide Interoperability for Microwave Access) is a promising technology which can offer high speed voice, video and data service up to the customer end. The aim of this paper is the performance evaluation of an Wimax system under different combinations of digital modulation (BPSK, QPSK, 4 QAM and 16 QAM) and different communication channels AWGN and fading channels (Rayleigh and Rician). And the Wimax system incorporates Reed Solomon (RS) encoder with Convolutional encoder with half and two third rated codes in FEC channel coding. The simulation results of estimated Bit Error Rate (BER) displays that the implementation of interleaved RS code (255, 239, 8) with two third rated Convolutional code under BPSK modulation technique is highly effective to combat in the Wimax communication system. To complete this performance analysis in Wimax based systems, a segment of audio signal is used for analysis. The transmitted audio message is found to have retrieved effectively under noisy situation.