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Near ML treatment of n interferers with linear complexity | IEEE Conference Publication | IEEE Xplore

Near ML treatment of n interferers with linear complexity


Abstract:

In this paper, we focus on the performance of interference-limited cell-edge users in cellular networks. We propose a transmission strategy where interference alignment c...Show More

Abstract:

In this paper, we focus on the performance of interference-limited cell-edge users in cellular networks. We propose a transmission strategy where interference alignment carried out at interfering base stations (BSs) is exploited with a low complexity receiver structure. For the general case, maximum likelihood (ML) detection would require a complexity of O (|χ|n+1) in the presence of n interferers where |χ| is the size of the alphabet. We show that with the proposed scheme and simplified receiver structure, the complexity of detection reduces to O (|χ|) with ML comparable performance.
Date of Conference: 17-20 June 2012
Date Added to IEEE Xplore: 03 September 2012
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Conference Location: Cesme, Turkey

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