Reduced complexity K-best sphere decoding algorithms for ill-conditioned MIMO channels

Ibrahim Al-Nahhal, Masoud Alghoniemy, Osamu Muta, Adel B.Abd El-Rahman

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

4 被引用数 (Scopus)

抄録

The traditional K-best sphere decoder retains the best K-nodes at each level of the search tree; these K-nodes, include irrelevant nodes which increase the complexity without improving the performance. A variant of the K-best sphere decoding algorithm for ill-conditioned MIMO channels is proposed, namely, the ill-conditioned reduced complexity K-best algorithm (ill-RCKB). The ill-RCKB provides lower complexity than the traditional K-best algorithm without sacrificing its performance; this is achieved by discarding irrelevant nodes that have distance metrics greater than a pruned radius value, which depends on the channel condition number. A hybrid-RCKB decoder is also proposed in order to balance the performance and complexity in both well and ill-conditioned channels. Complexity analysis for the proposed algorithms is provided as well. Simulation results show that the ill-RCKB provides significant complexity reduction without compromising the performance.

本文言語英語
ホスト出版物のタイトル2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ183-187
ページ数5
ISBN(電子版)9781467392921
DOI
出版ステータス出版済み - 3 30 2016
イベント13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016 - Las Vegas, 米国
継続期間: 1 6 20161 13 2016

出版物シリーズ

名前2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016

その他

その他13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
国/地域米国
CityLas Vegas
Period1/6/161/13/16

All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンスの応用
  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ

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