WiMAX physical layer optimization by implementing SOVA Decoding algorithm

Author

Kene, Jagdish D. ; Kulat, K.D.

Author_Institution

Visvesvaraya Nat. Inst. of Technol., Nagpur, India

fYear

2014

fDate

4-5 April 2014

Firstpage

179

Lastpage

183

Abstract

Turbo code provides relatively better performance as compare to convolution codes at lower Signal to Noise Ratio. Turbo code offers an outstanding coding gain very close to Shannon limit over an AWGN channel to achieve maximum throughput particularly for WiMAX application. The objective of this paper is to Study the Mobile WiMAX system performance by implementing the turbo codes using Soft Output Viterbi Algorithm (SOVA). Turbo decoder is optimized by modifying the SOVA that contributed to the system performance optimization. For different transmission conditions, BER performance has been simulated and compared to the conventional Log-MAP decoding algorithm. The performance of mobile WiMAX system has also been tested for the effect of various Decoding algorithms, Frame size and Code rates.

Keywords

AWGN channels; Viterbi decoding; WiMax; convolutional codes; error statistics; maximum likelihood decoding; mobile radio; optimisation; AWGN channel; BER performance; SOVA decoding algorithm; WiMAX application; WiMAX physical layer optimization; code rates; coding gain; convolution codes; frame size; log-MAP decoding algorithm; mobile WiMAX system; signal to noise ratio; soft output Viterbi algorithm; system performance optimization; transmission conditions; turbo code; turbo decoder; Bit error rate; Decoding; Iterative decoding; Signal to noise ratio; Turbo codes; Viterbi algorithm; WiMAX; Decoding Algorithms; FEC codes; SISO; Shannon limit; Viterbi algorithm; WiMAX;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits, Systems, Communication and Information Technology Applications (CSCITA), 2014 International Conference on

Conference_Location

Mumbai

Type

conf

DOI

10.1109/CSCITA.2014.6839256

Filename

6839256