球面检测的一种新的高效排序方案

IF 1.2 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Cao Haiyan, Li Jun
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引用次数: 0

摘要

解码顺序对球体检测的复杂度有很大的影响。提出了一种新的球面检测排序方案,该方案基于序列干扰抵消和由符号元与零强迫解的绝对差值的累积概率定义的梯度。仿真结果表明,在低信噪比区域,特别是在天线数量多、星座规模大的情况下,所提出的排序方案能够显著降低复杂度。与信噪比为5 dB时BSQR(平衡排序QR)分解和GB(基于梯度)排序下的球体检测复杂度相比,4×4 16QAM系统的平均访问节点数分别减少了近30%和33%,6×6 16QAM系统的平均访问节点数分别减少了近30%和50%。对于4×4 64QAM系统,在信噪比= 0 dB时可以分别实现75%和80%的降噪,在信噪比= 5 dB时可以分别实现40%和50%以上的降噪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new efficient ordering scheme for sphere detection
The decoding order has a deep impact in the complexity of sphere detection. A new ordering scheme for sphere detection is presented in this paper, which is based on SIC (serial interference canceling) and the gradient defined by the accumulated probability of the absolute difference between symbol element and the zero-forcing solution. The simulation results show that the proposed ordering scheme can achieve a significant complexity reduction, especially for high numbers of antennas and large constellation sizes in the low SNR region. Compared with sphere detection complexity under BSQR (balanced sorted QR) decomposition and GB (gradient-based) orderings at SNR = 5 dB, the average number of visited nodes under our proposed ordering is reduced by almost 30% and 33% in 4×4 16QAM system and by almost 30% and 50% reduction in 6×6 16QAM system, respectively. For 4×4 64QAM system, almost 75% and 80% reduction at SNR = 0 dB and more than 40% and 50% reduction at SNR = 5 dB can be achieved, respectively.
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来源期刊
Journal of Electrical and Computer Engineering
Journal of Electrical and Computer Engineering COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
4.20
自引率
0.00%
发文量
152
审稿时长
19 weeks
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