Low complexity k-best based iterative receiver for MIMO systems

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原文链接

NETL

外文摘要：Iterative receiver combining multiple-input multiple-output (MIMO) detection with channel decoding is an attractive solution to greatly improve the error rate performance of wireless communication systems。 However， such iterative process poses significant challenges for efficient receiver design。 In this paper， a modification of soft-input soft-output K-Best decoder is proposed to provide high throughput with low complexity。 Moreover， the convergence of combining sphere decoder based detection algorithms with LTE turbo decoder is analyzed with the help of EXtrinsic Information Transfer (EXIT) charts。 An optimized scheduling of the number of iterations is therefore proposed。 Simulation results show that the proposed decoder and the new schedule achieve almost the same performance compared to the conventional schedule with a large saving in computational complexity。

外文关键词：

Long Term EvolutionMIMO communicationchannel codingcomputational complexityiterative decodingradio receiverssignal detectiontelecommunication schedulingturbo codesEXITLTE turbo decoderMIMO systemschannel decodingcomputational complexityerror rate performanceextrinsic information transfer chartslow complexity k-best based iterative receiver designmultiple-input multiple-output detectionoptimized schedulingsoft-input soft-output k-best decodersphere decoder based detection algorithmswireless communication systemsComplexity theoryConvergenceDecodingIterative decodingMIMOMeasurementReceivers

作者：

El Chall, Rida、Nouvel, Fabienne、Helard, Maryline、Ming Liu

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作者单位：

IETR, INSA, Rennes, France

会议名称：

International Congress on Ultra Modern Telecommunications and Control Systems and Workshops

会议地点：

St. Petersburg(RU)

会议母体文献：

2014 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops

页码：

451-455

出版时间：

2014

DOI：

10.1109/ICUMT.2014.7002143