范数有界信道误差的鲁棒干扰对齐算法

doi:10.3969/j.issn.1001-2400.2017.01.024

摘要/Abstract

摘要：

针对传统干扰对齐算法需要理想的信道状态信息，且对信道误差敏感的问题，基于范数有界信道误差模型，提出了三种最坏情况逼近的鲁棒干扰对齐算法．首先，为减少干扰和信号泄漏，提出了最小化最大泄漏功率的鲁棒算法;其次，为增大子空间内的干扰和信号，提出了最大化最小子空间投影的鲁棒算法；最后，将前两种方法结合，提出了联合优化的鲁棒算法．仿真结果表明，在信道误差范数有界时，三种算法性能均优于传统的干扰对齐算法，验证了所提算法具有较好的鲁棒性．

关键词: 干扰对齐, 干扰抑制, 鲁棒性, 范数有界信道误差, 信道容量, 半正定规划

Abstract:

Conventional interference alignment (IA) requires perfect channel state infromation and is sensitive to channel uncertainties. Based on the norm-bounded channel uncertainties model, this paper proposes three worst-case approach robust IA algorithms. First, to decrease the interference and signal leakage, a robust algorithm is proposed to minimize the maximum leakage power; Second, to increase the interference and signal in the corresponding subspace, another robust algorithm is proposed to maximize the minimun subspace projection; finally, a united robust algorithm is proposed by uniting the two algorithms above. Simulation results show that the proposed algorithms can outperform the conventional algorithms when channel uncertainties are norm-bounded, which affirms the robustness of the proposed algorithm.

代龙震;崔维嘉;王大鸣. 范数有界信道误差的鲁棒干扰对齐算法[J]. 西安电子科技大学学报, 2017, 44(1): 134-139+181.

DAI Longzhen;CUI Weijia;WANG Daming. Robust interference alignment for norm-bounded channel uncertainties[J]. Journal of Xidian University, 2017, 44(1): 134-139+181.

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