A Soft Tree Pruning Based Fixed-complexity Sphere Decoder for Interference-limited MIMO Systems

被引：0
|
作者：
Zhou, Guangxia [1 ]
Xu, Wen [1 ]
Bauch, Gerhard
机构：
[1] Intel Mobile & Commun Grp, D-85579 Neubiberg, Germany
来源：
2013 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) | 2013年
关键词：
Interference-limited MIMO systems; joint detection; ML detection; sphere decoder; tree pruning; LTE-A;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In wireless networks, interference from adjacent base stations is usually a dominant factor for user performance degradation. A maximum likelihood (ML) detection can provide superior performance by jointly detecting the serving and interfering signals. However, the complexity is extremely high. This paper presents a soft tree pruning based fixed-complexity sphere decoder. It uses reliability information on bits to estimate a search radius and thereby prunes unpromising nodes in the early stage of the tree search detection to reduce complexity. Based on the soft tree pruning method, the fixed-complexity sphere decoder can still work in a fully pipelined mode. Simulation results show that the soft tree pruning based fixed-complexity sphere decoder can provide a better trade-off between complexity and performance in interference-limited scenarios.
引用
收藏
页码：3620 / 3625
页数：6
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