认知MIMO干扰网络的顽健干扰对齐算法

doi:10.11959/j.issn.1000-436x.2016063

Abstract

Abstract:

A robust interference alignment algorithm was proposed for underlay cognitive MIMO interference network with imperfect channel-state information (CSI).Firstly,imperfect CSI was characterized by Euclidean ball-shaped uncer-tainty,based on which the optimization model of transmitting precoding and receiving interference subspace matrix was constructed with aimed of minimizing interference leak Then,primary users' interference temperature constraint un-der the worst-case condition was derived according to the matrix norm inequality.Finally,alternate iteration expressions of transceiver matrixes were obtained exploiting Lagrange partial dual-decomposition theory and sub-gradient update method.Moreover,the proposed algorithm's application condition and degrees of freedom range were theoretically ana-lyzed.Simulation results show that the proposed algor m is robust and its secondary users' network performance out-performs existing algorithms'.

Key words: cognitive MIMO, underlay, interference alignment, robust

Shi-lei ZHU,You ZHOU,Xiu-kun REN,Han-ying HU. Robust interference alignment algorithm for cognitive MIMO interference network[J]. Journal on Communications, 2016, 37(3): 157-164.

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References 17

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