Adaptive Stack-Based Iterative Precoding for the Multiuser MIMO Downlink

被引：0
|
作者：
Park, Kyungho [1 ]
Cha, Jongsub [2 ]
Kang, Joonhyuk [1 ]
机构：
[1] ICU, Sch Engn, 119 Munjiro, Taejon 305732, South Korea
[2] Elect & Telecommun Res Inst, RFID USN Res Div, Taejon 305732, South Korea
来源：
2008 IEEE 19TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS | 2008年
关键词：
D O I：
10.1109/MEMSYS.2008.4443662
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The stack-based iterative precoding (SBIP) is an efficient algorithm that achieves a tradeoff between bit error rate (BER) performance and computational complexity in multi-user MIMO downlink systems. In this paper, we propose an adaptive SBIP algorithm with variable candidate set and statistically derived threshold for pruning. By analyzing the upper bound of accumulated metric, the range of candidate set is calculated. The probability distribution is also derived for statistical pruning of the tree search. Applying these ideas, the number of undesirable node visit is significantly reduced. Monte-Carlo simulations show that the proposed algorithm considerably reduces the computational complexity whereas the performance is close to that of sphere encoder (SE).
引用
收藏
页码：339 / 343
页数：5
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