Low Complexity Soft-Input Soft-Output Detector based on Repeated Tree Search strategy

被引：0
|
作者：
Angeles Simarro, M. [1 ]
Martinez Zaldivar, F. J. [1 ]
Gonzalez, Alberto [1 ]
Garcia, Victor M. [2 ]
Vidal, Antonio [2 ]
机构：
[1] Univ Politecn Valencia, Inst Telecommun & Multimedia Applicat, E-46022 Valencia, Spain
[2] Univ Politecn Valencia, Dept Informat Syst & Comp, E-46022 Valencia, Spain
来源：
2015 IEEE 81ST VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING) | 2015年
关键词：
ALGORITHMS; CAPACITY; CODES;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In Multiple-Input Multiple-Output (MIMO) schemes, the high computational complexity of soft optimal detection algorithms can make these algorithms impractical for real systems, especially when the number of antennas and modulation orders increase. In this paper, we present a modification on Repeated Tree Search (RTS) strategy, reducing the complexity by using Box-Optimization (BO) method combined with the Zero Forcing (ZF) algorithm. The proposed soft input soft output algorithm presents lower complexity than already proposed optimal algorithms, however it loses the optimal behavior. The proposed suboptimal soft detector exhibits a scalable tradeoff between complexity and performance.
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页数：5
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