Xiang Chen - Wireless Center, RIIT, Tsinghua
Ming Zhao - Nanjing University of Aeronautics and Astronautics, China
Jianwen Chen
Jing Wang

Wireless baseband processing, which is characterized by high computational complexity and high data throughput, is regarded as the most challenging issue for software radio (SR) systems, especially for the General Purpose Processor (GPP)-based SR systems. To overcome this implementation difficulty in SR systems, the multicore architecture has been proposed as the GPP-based SR platform, for example, multicore Central Processing Unit (CPU), Graphic Processing Unit (GPU) and Cell processors. In this paper, the Cell processor is considered as the core component in the GPP-based SR platform, and the channel decoding modules for convolutional, Turbo and Low-density parity-check (LDPC) codes of WiMAX systems are investigated and efficiently implemented on Cell processor. With a single Synergistic Processor Element (SPE) running at ۳.۲GHz, the implemented channel decoders can throughput up to ۳۰Mbps, ۱.۳۶Mbps and ۱.۷۱Mbps for the above three codes, respectively. Moreover, the decoding modules can be easily integrated to the SR system and can provide a highly integrated SR solution.

wireless communication, Software Radio, IBM OCR and SUR programs, en, Convolutional codes, China Government Funding, channel decoding, Turbo code, LDPC Codes, WiMAX, Multi-Core