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

Abstract

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.

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.

References

［1］ CADAMBE V R, JAFAR S A. Interference Alignment and Degrees of Freedom of the K-user Interference Channel［J］. IEEE Transactions on Information Theory, 2008, 54(8): 3425-3441.
［2］ GOMADAM K, CADAMBE V R, JAFAR S A. Approaching the Capacity of Wireless Networks through Distributed Interference Alignment［C］//Proceedings of the IEEE Global Telecommunications Conference. Piscataway: IEEE, 2008: 4260-4265.
［3］李川. 两小区MIMO系统上行干扰对齐传输［J］. 西安电子科技大学学报, 2015, 42(4): 188-191.
LI Chuan. Two-cell MIMO Uplink Interference Alignment Transmission［J］. Journal of Xidian University, 2015, 42(4): 188-191.
［4］朱斌, 葛建华, 孙垂强, 等. 多小区干扰对齐的低复杂度发射天线选择算法［J］. 西安电子科技大学学报, 2014, 41(2): 9-14.
ZHU Bin, GE Jianhua, SUN Chuiqiang, et al. Low Complexity Transmit Antenna Selection Algorithm for Multi-cell Interference Alignment System［J］. Journal of Xidian University, 2014, 41(2): 9-14.
［5］ PETERS S W, HEATH JR. R W. Interference Alignment via Alternating Minimization［C］//Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Piscataway: IEEE, 2009: 2445-2448.
［6］ BAZZI S, DIETL G, UTSCHICK W. Interference Alignment via Minimizing Projector Distances of Interfering Subspaces［C］//IEEE Workshop on Signal Processing Advances in Wireless Communications. Piscataway: IEEE, 2012: 274-278.
［7］ RAHMAN M J, NOORI M, LAMPE L. A Low-complexity Design for Robust SINR Fairness in MIMO Interference Networks［C］//2015 IEEE Wireless Communications and Networking Conference. Piscataway: IEEE, 2015: 64-69.
［8］ LI Q Z, GU X M, LI H Q, et al. Robust Transceiver Design for MIMO Interference Network with Norm Bounded Channel Uncertainty［C］//IEEE Wireless Communications and Networking Conference. Piscataway: IEEE, 2013: 3964-3968.
［9］ RAHMAN M J, LAMPE L. Robust MSE-based Transceiver Optimization for Downlink Cellular Interference Alignment［C］//IEEE International Conference on Communications: 2015. Piscataway: IEEE, 2015: 4624-4629.
［10］ CHIU E, LAU V K N, WU T, et al. Robust Transceiver Design for K-pairs Quasi-static MIMO Interference Channels via Semi-definite Relaxation［C］//Conference Record-Asilomar Conference on Signals, Systems and Computers. Piscataway: IEEE Computer Society, 2010: 2094-2098.
［11］ JOSE J, PRASAD N, KHOJASTEPOUR M, et al. On Robust Weighted-sum Rate Maximization in MIMO Interference Networks［C］//IEEE International Conference on Communications. Piscataway: IEEE, 2011: 5962875.
［12］ BOYD S, VENDENBERGHE L. Convex Optimization ［M］. Cambridge: Cambridge University Press, 2013.
［13］ ELDAR Y C, BEN-TAL A, NEMIROVSKI A. Robust Mean-squared Error Estimation in the Presence of Model Uncertainties［J］. IEEE Transactions on Signal Processing, 2005, 53(1): 168-181.

Robust interference alignment for norm-bounded channel uncertainties

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