An Iterative Interference Alignment Algorithm for the General MIMO X Channel
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AbstractInterference alignment (IA) has been shown as an important technique to achieve a linear capacity scaling in wireless communications. However, the IA scheme over finite signaling dimensions for a general multiple-input-multiple-output (MIMO) X channel is still rarely studied. The main challenge of MIMO X channels is that the two sets of conditions for IA, namely the interference nulling conditions and the rank preservation conditions, get coupled. The usual IA methods for the interference channel and the broadcasting channel cannot be applied anymore. In this paper, we show that the rank preservation conditions can be replaced by a group of specific rank conditions, under which the IA problem is simplified. Then, based on this technique, an iterative algorithm of IA is designed for the MIMO X channel. The algorithm is designed with limited signaling dimensions. From the simulation results, we find that the algorithm has good performances even under limited signal-to-noise ratio.
Acceptance Date21/01/2019
All Author(s) ListYi Wei, Tat Ming Lok
Journal nameIEEE Transactions on Wireless Communications
Volume Number18
Issue Number3
Place of PublicationUSA
Pages1847 - 1859
LanguagesEnglish-United States
KeywordsBeamforming, iterative algorithm, MIMO systems, X channels, interference alignment

Last updated on 2020-22-01 at 02:36