A distributed interference alignment algorithm using min-maxing strategy

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• 作者：M. El-Absi ; M. El-Hadidy and T. Kaiser
• 刊名：Transactions on Emerging Telecommunications Technologies
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：28
• 期：1
• 全文大小：1402K
• ISSN：2161-3915

文摘

Interference alignment is a joint-transmission strategy that significantly increases the sum rate of interference channels at high signal-to-noise ratios (SNRs). The recent iterative interference alignment approaches are incapable of guaranteeing the best sum-rate performance with the increase of the SNR amongst different K-user interference channels, especially at high SNR regime. In this paper, a new interference alignment algorithm is developed to improve the sum-rate performance of K-user multi-input multi-output (MIMO) and multi-carrier interference channels by minimising the interference leakage and maximising the desired power concurrently, which is called by min-maxing strategy. For a K-user MIMO interference channel, we design transmit precoding matrices and receive decoding matrices through an efficient iterative algorithm based on min-maxing strategy in a distributed way, in which each receiver maximises the desired signal power, whereas it preserves the minimum leakage interference as a constraint. This optimisation problem is reformulated and relaxed into a standard semidefinite programming form. The convergence of the proposed algorithm is proved as well. Furthermore, a simplified min-maxing algorithm is proposed for rank-deficient interference channels to achieve the targeted performance with less complexity. The numerical simulations show that the proposed algorithm proffers significant sum-rate improvement in K-user MIMO interference channels compared with the existing algorithms at high SNR regime. Moreover, the simplified algorithm matches the optimal performance in the systems of rank-deficient channels. Finally, the developed min-maxing algorithm has been extended to K-user multi-carrier interference channels, which outperform the previous approaches in terms of sum rate in several scenarios. Copyright