2016年11月28日
Massive overloaded MIMO signal detection via convex optimization with proximal splitting
European Signal Processing Conference
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- 巻
- 2016-November
- 号
- 開始ページ
- 1383
- 終了ページ
- 1387
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/EUSIPCO.2016.7760475
- 出版者・発行元
- IEEE
In this paper, we propose signal detection schemes for massive overloaded multiple-input multiple-output (MIMO) systems, where the number of receive antennas is less than that of transmitted streams. Using the idea of the sum-of-absolutevalue (SOAV) optimization, we formulate the signal detection as a convex optimization problem, which can be solved via a fast algorithm based on Douglas-Rachford splitting. To improve the performance, we also propose an iterative approach to solve the optimization problem with weighting parameters update in a cost function. Simulation results show that the proposed scheme can achieve much better bit error rate (BER) performance than conventional schemes, especially in large-scale overloaded MIMO systems.
- リンク情報
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- DOI
- https://doi.org/10.1109/EUSIPCO.2016.7760475
- DBLP
- https://dblp.uni-trier.de/rec/conf/eusipco/HayakawaHSN16
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000391891900264&DestApp=WOS_CPL
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85006022111&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85006022111&origin=inward
- URL
- https://dblp.uni-trier.de/conf/eusipco/2016
- URL
- https://dblp.uni-trier.de/db/conf/eusipco/eusipco2016.html#HayakawaHSN16
- ID情報
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- DOI : 10.1109/EUSIPCO.2016.7760475
- ISSN : 2219-5491
- DBLP ID : conf/eusipco/HayakawaHSN16
- SCOPUS ID : 85006022111
- Web of Science ID : WOS:000391891900264