4×4/8×8/12×12 reconfigurable MIMO detector on multi-core DSP based on Eigen decomposition of dataflow graph

Sheng Hung Wu, Chien Yu Kao, Jen Yuan Hsu, Pang An Ting, Gwo-Giun Lee, Yuan Hao Huang

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

This paper presents a 4×4/8×8/12×12 and QPSK/16-QAM/64-QAM reconfigurable MIMO detector on a multi-core DSP platform for different MIMO detection algorithms, including multiple-candidate-selection QRSIC (MCS-QRSIC), distributed K-best, and sorting-reduced K-best detectors. This study uses an Eigen-value decomposition method to investigate the intrinsic degree of parallelism of MIMO detectors and allocate the processing elements to DSP cores. MCS-QRSIC outperforms other detectors in 4 × 4 detection, and distributed K-best has the best performance in 8×8 and 12×12 MIMO systems. The normalized throughput achieves 188/153/142 Mbps for 64-QAM 4×4/8×8/12×12 MIMO detections at a 1GHz clock rate with 448 cores.

原文English
主出版物標題2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
頁面2639-2643
頁數5
DOIs
出版狀態Published - 2013 十月 18
事件2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
持續時間: 2013 五月 262013 五月 31

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(列印)1520-6149

Other

Other2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
國家Canada
城市Vancouver, BC
期間13-05-2613-05-31

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

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  • 引用此

    Wu, S. H., Kao, C. Y., Hsu, J. Y., Ting, P. A., Lee, G-G., & Huang, Y. H. (2013). 4×4/8×8/12×12 reconfigurable MIMO detector on multi-core DSP based on Eigen decomposition of dataflow graph. 於 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings (頁 2639-2643). [6638134] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2013.6638134