Title :
Performance optimization of physical layer using turbo codes: a case study of Wi-Max mobile environment
Author :
Kene, Jagdish D. ; Kulat, Kishor D.
Author_Institution :
ECE Department, Visvesvaraya National Institute of Technology, Nagpur, India
Abstract :
Turbo code gives relatively better performance as compare to convolutional codes. Turbo code offers an outstanding coding gain very close to Shannon limit for AWGN channel to achieve maximum throughput (Typical Wi-Max application). The objective of this paper is to study the Mobile Wi-Max system performance by using turbo codes and setting the system parameters to achieve performance optimization. For different transmission conditions BER performance has been simulated. Finally for the performance optimization of mobile Wi-Max system the effect of various Decoding algorithms, Frame size and Code rates are considered for simulation to evaluate the system performance. Improvement achieved in the features of Mobile Wi-Max system for a particular selection of set of parameters has been reported.
Keywords :
Decoding Algorithms; FEC codes; Shannon limit; Wi-Max;
Conference_Titel :
Emerging Technology Trends in Electronics, Communication and Networking (ET2ECN), 2012 1st International Conference on
Conference_Location :
Surat, Gujarat, India
Print_ISBN :
978-1-4673-1628-6
DOI :
10.1109/ET2ECN.2012.6470084