An Efficient Phase Based Imperfect Interference Alignment Scheme for 3-User Asymmetric Constant Channel

Long Suo, Jiandong Li, Hongyan Li, M. Pan
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Abstract

Interference alignment (IA) is an emerging interference management approach which fully exploits the potential spatial bandwidth in wireless networks, achieving optimal DOF. However, perfect IA is almost unaccessible for 3-user complex constant interference channel without symbol extension. For this, an efficient phase based imperfect interference alignment scheme is proposed in this paper, which uses a deviation compensation factor (DCA) to measure how much the practical channel coefficients deviate from perfect IA feasibility condition. The DCA is allocated to receivers based on a Minimum Interference Leakage (MIL) criterion. Simulation results shows that the MIL based DCA, Max-SINR and TDMA algorithms perform better in different SNR regions, and the proposed scheme can be improved with proper switch between different strategies.
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一种基于相位的三用户非对称常数信道不完全干扰对准方案
干扰对准(IA)是一种新兴的干扰管理方法,它充分利用无线网络的潜在空间带宽,实现最佳自由度。然而,对于3用户复杂的恒定干扰信道,如果没有符号扩展,几乎无法获得完美的IA。为此,本文提出了一种有效的基于相位的不完全干涉对准方案,该方案使用偏差补偿因子(DCA)来测量实际信道系数与完全干涉可行性条件的偏差程度。DCA是根据最小干扰泄漏(MIL)准则分配给接收机的。仿真结果表明,基于MIL的DCA、Max-SINR和TDMA算法在不同信噪比区域具有较好的性能,并且可以通过适当的策略切换来改进该方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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