多小区联合检测中的空时编码干扰信号高效抑制
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摘要
现代蜂窝通信系统中,由于小区间的互相干扰,小区边缘用户成为性能提升的瓶颈。针对这一问题,本文考虑采用多小区联合检测来提高小区边缘用户的性能,重点关注干扰信号采用空时编码时的检测问题。通过将相关符号周期的传输综合建模,本文提出了一种联合最小均方误差(Joint-Minimum Mean-Squared Error, J-MMSE)检测算法;并分别讨论了服务小区采用空时编码和空分复用传输时的算法设计。仿真结果表明,与传统检测算法相比,所提的J-MMSE检测算法,可以以较低的复杂度获得显著的性能增益;为多小区联合检测提供了一个有吸引力的选择。
In modern cellular communication systems, due to the interference from neighbor cells, the performance of cell-edge users becomes the bottleneck of the whole system. To solve the problem, this paper discusses the multi-cell joint detection schemes, focusing focuses on the suppression of interference signals with space-time coding. By combining the transmissions in all relevant symbol periods, we propose a Joint-Minimum Mean-Squared Error(J-MMSE) detection algorithm; and detail its applications in the scenarios where the target signal is transmitted with space-time coding or spatial multiplexing, respectively. The simulation results show that the proposed J-MMSE scheme can achieve a significant performance gain over traditional designs with low complexity, which provides an attractive option for multi-cell joint detection.
In modern cellular communication systems, due to the interference from neighbor cells, the performance of cell-edge users becomes the bottleneck of the whole system. To solve the problem, this paper discusses the multi-cell joint detection schemes, focusing focuses on the suppression of interference signals with space-time coding. By combining the transmissions in all relevant symbol periods, we propose a Joint-Minimum Mean-Squared Error(J-MMSE) detection algorithm; and detail its applications in the scenarios where the target signal is transmitted with space-time coding or spatial multiplexing, respectively. The simulation results show that the proposed J-MMSE scheme can achieve a significant performance gain over traditional designs with low complexity, which provides an attractive option for multi-cell joint detection.
引文
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[2] Foschini G J,Gans M J.On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas[J].Wireless Personal Communications,1998,6(3):311-335.
[3] Tarokh V,Seshadri N,Calderbank A R.Space-time Codes for High Data Rate Wireless Communication:Performance Criterion and Code Construction[J].IEEE Transactions on Information Theory It,1998,50(12):19-32.
[4] Alamouti S M.A Simple Transmit Diversity Technique for Wireless Communications[J].IEEE J.select.areas.Commun.,1998,16(8):1451-1458.
[5] Shang P,Kim S,Choi K.Soft ZF MIMO Detection for Turbo Codes[C]// IEEE International Conference on Wireless & Mobile Computing.2010.
[6] Sengijpta S K.Fundamentals of Statistical Signal Processing:Estimation Theory[M].PTR Prentice hall,1993.
[7] Str?m E G,Svensson T.EU FP7 INFSO-ICT-317669 METIS,D1.1 Scenarios,Requirements and KPIs for 5G Mobile and Wireless System[J].Scenario,2013.
[8] 商河.MIMO信号检测的研究[D].呼尔浩特:内蒙古大学,2012.