Research Article
Improved Convolutional Coding and Decoding of IEEE802.11n Based on General Purpose Processors
@INPROCEEDINGS{10.1109/ChinaCom.2013.6694589, author={Yanuo Xu and Kai Niu and Zhiqiang He and Jiaru Lin}, title={Improved Convolutional Coding and Decoding of IEEE802.11n Based on General Purpose Processors}, proceedings={8th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2013}, month={11}, keywords={convolutional code 80211n gpp viterbi decoder simd}, doi={10.1109/ChinaCom.2013.6694589} }- Yanuo Xu
Kai Niu
Zhiqiang He
Jiaru Lin
Year: 2013
Improved Convolutional Coding and Decoding of IEEE802.11n Based on General Purpose Processors
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694589
Abstract
In this paper, the convolutional coding and decoding of 802.11n are improved on general purpose processor (GPP) software defined radio(SDR) platforms. The prototype makes extensive use of features of contemporary processor architectures to accelerate signal processing and satisfy protocol real-time requirements of IEEE802.11n, including large low-latency caches to store lookup tables, and single instruction multiple data (SIMD) processor on GPPs. In the prototype, the Viterbi decoder employs the parallel structure and trace back decoding algorithm to improve performance. The simulation results show the prototype can satisfy the performance and real-time requirement of IEEE802.11n. Considering the rapid development of GPP, data processing capacity of our prototype will be further improved.