Regularized interference alignment based on weighted sum-MSE criterion for MIMO interference channels

Seok Hwan Park, Haewook Park, Young Doo Kim, Inkyu Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Citations (Scopus)

Abstract

The original interference alignment (IA) scheme provides poor sum-rate performance compared to simple orthogonal access schemes such as time-division multiple access (TDMA) in low-to-medium SNR under total power constraint. In this paper, we address this problem by proposing a method of regularizing the IA scheme with a criterion of minimizing the weighted sum of the mean square error (WMSE) function. To perform the regularization process efficiently, the weight terms in the WMSE metric should be computed from the optimal zero-forcing (ZF) schemes. Thus, we first prove the optimality of the enhanced IA algorithm introduced in our previous work in the ZF sense. From simulation results, it is shown that the proposed scheme outperforms the TDMA in overall SNR regime. We can further improve the performance by repeating the proposed regularization process iteratively. Moreover, we propose a modified design that provides robustness in the presence of channel uncertainty.

Original languageEnglish
Title of host publicationIEEE International Conference on Communications
DOIs
Publication statusPublished - 2010 Aug 13
Event2010 IEEE International Conference on Communications, ICC 2010 - Cape Town, South Africa
Duration: 2010 May 232010 May 27

Other

Other2010 IEEE International Conference on Communications, ICC 2010
CountrySouth Africa
CityCape Town
Period10/5/2310/5/27

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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    Park, S. H., Park, H., Kim, Y. D., & Lee, I. (2010). Regularized interference alignment based on weighted sum-MSE criterion for MIMO interference channels. In IEEE International Conference on Communications [5502736] https://doi.org/10.1109/ICC.2010.5502736