Tree Search Space Reduction for Soft-input Soft-output Sphere Decoding in MIMO Systems

被引：0
|
作者：
Zhang, Dan [1 ]
Lai, I-Wei [1 ]
Ascheid, Gerd [1 ]
机构：
[1] Rhein Westfal TH Aachen, Inst Integrated Signal Proc Syst, D-52062 Aachen, Germany
来源：
2011 IEEE 73RD VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING) | 2011年
关键词：
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：
For soft-input soft-output sphere decoding (SD), the combination of the Schnorr-Euchner (SE) enumeration and the radius reduction shrink the search space quickly but with considerable computational complexity. In this paper, a low complexity approach is proposed to reduce the tree search space before SD starts. Particularly, such reduction is achieved by 1) tightening the initial radius; 2) restricting the search space to a subset of the symbol lattice. With further enhancement on the tree pruning constraint, simulation results demonstrate significant complexity savings with negligible error rate performance loss.
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页数：5
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