Efficient Soft MIMO Detection Algorithms Based on Differential Metrics

Wang Yueh Chang, Ming Xian Chang

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

The multiple-input multiple-output (MIMO) technology can make full use of spectrum and increase the communication throughput. In the coded MIMO system, the main challenge of soft detection is to efficiently generate the loglikelihood ratios (LLR) values for channel decoder. The exact maximum a posteriori (MAP) probability detection can guarantee the optimal performance, but its realization is difficult due to its enormous complexity. In this paper, we propose efficient soft detection algorithms based on differential metrics. We apply the differential metrics for the list sphere decoding, and propose the list gradient algorithm. We further propose a novel algorithm that can generate the values of LLR and provide a trade-off between performance and complexity. The proposed algorithms do not need the QR decomposition and matrix inversion. The proposed algorithms have fixed complexity, and are appropriate for pipelined hardware implementation. The numerical results verify the efficiency of our algorithms.

原文English
主出版物標題2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781509059324
DOIs
出版狀態Published - 2017 十一月 14
事件85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia
持續時間: 2017 六月 42017 六月 7

出版系列

名字IEEE Vehicular Technology Conference
2017-June
ISSN(列印)1550-2252

Other

Other85th IEEE Vehicular Technology Conference, VTC Spring 2017
國家/地區Australia
城市Sydney
期間17-06-0417-06-07

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 電氣與電子工程
  • 應用數學

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