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학술지 Beam Tracking for Interference Alignment in Slowly Fading MIMO Interference Channels: A Perturbation Approach under a Linear Framework
Cited 28 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
유희정, 성영철, 김학수, 이용훈
발행일
201204
출처
IEEE Transactions on Signal Processing, v.60 no.4, pp.1910-1926
ISSN
1053-587X
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TSP.2011.2181502
협약과제
11MI1800, IEEE 802.11 VHT 초고속 무선랜 무선전송 연구, 이석규
초록
In this paper, the beam design for signal-space interference alignment in slowly fading multiuser multiple-input multiple-output (MIMO) interference channels is considered. Based on a linear formulation for interference alignment, a predictive beam tracking algorithm is proposed using matrix perturbation theory. The proposed algorithm, based on a mixture of iteration and update, computes interference-aligning beamforming vectors at the current time by updating the previous beam vectors based on the channel difference between the two time steps during the predictively updating phase, and yields significant reduction in computational complexity compared with existing methods recalculating beams at each time step. The tracking performance of the algorithm is analyzed in terms of mean square error and sum rate loss between the predictively updating approach and the recalculating approach, and the impact of imperfect channel knowledge is also investigated under the state-space channel model. Numerical results show that the proposed algorithm has almost the same performance as non-predictive methods in sum rate. Thus, the proposed algorithm provides a very efficient way to realize interference alignment in a realistic slowly fading MIMO channel environment. © 2011 IEEE.
키워드
Interference alignment, least squares, null space tracking, perturbation theory, predictive algorithm, slowly fading channels
KSP 제안 키워드
Beam design, Computational complexity, Interference Alignment(IA), Least Squares(LS), MIMO channel, MIMO interference channels, Multiple input multiple output(MIMO), Multiuser Multiple-Input Multiple-Output(MU-MIMO), Numerical results, Perturbation theory(PT), Predictive algorithm