A Robust Interference Alignment Algorithm Based on Weighted Mean Square Error Minimization
LI Ning①② WANG Siwen③ ZHAI Lijun①② LIU Yun①②
①(54th Research Institute, China Electronics Technology Group Corporation, Shijiazhuang 050081, China) ②(Application and Technology on Aerospace Information Laboratory, China Electronics Technology Group Corporation, Shijiazhuang 050081, China) ③(Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China)
Sum rate maximization is often used as the target of linear Interference Alignment (IA). However, the sum rate function is non-convex and hard to be solved. This problem is solved according to the relationship of mean square error and sum rate which is known as the Weighted Minimum Mean Square Error (WMMSE). This method relies on the knowledge of channel state information. In real systems, the channel estimation error may cause significant descent to the sum rate performance. This paper proposes an improved algorithm, which considers the statistical character of channel estimation error. Simulation results show that the proposed algorithm is robust to channel estimation error and improves the sum-rate efficiently, compared with the usual WMMSE method.
李宁,王思文,翟立君,刘允. 一种加权均方误差最小化的鲁棒性干扰对齐算法[J]. 电子与信息学报, 2016, 38(3): 643-648.
LI Ning, WANG Siwen, ZHAI Lijun, LIU Yun. A Robust Interference Alignment Algorithm Based on Weighted Mean Square Error Minimization. JEIT, 2016, 38(3): 643-648.
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