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ICT기반 스마트기기 창의인재양성 사업팀의 논문/저서입니다.

글 읽기
제 목 [유희정 교수님]Junse Lee, Heejung Yu, Youngchul Sung, "Beam Tracking for Interference Alignment in Slowly Fading MIMO Interference Channels: A Perturbations Approach Under a Linear Framework,"
글쓴이 관리자
작성일 2014.07.21 조 회 589
Junse Lee, Heejung Yu, Youngchul Sung, "Beam Tracking for Interference Alignment in Slowly Fading MIMO Interference Channels: A Perturbations Approach Under a Linear Framework," IEEE Transactions on Vehicular Technology, vol. 63, no. 2, pp. 958-964, Feb. 2014.
Abstract
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.

게시판 간략리스트
이전글 [유희정교수님]Heejung Yu and Taejoon Kim, “Beamforming Transmission in IEEE 802.11ac under Time-Varying Channels,” The Scientific World Journal, vol. 2014, Article ID 920937, 11 pages, 2014. doi:10.1155/2014/920937
다음글 [유희정 교수님]Heejung Yu, "Optimal Channel Sensing for Heterogeneous Cognitive Networks," KSII Transactions on Internet and Information Systems, vol. 7, no. 12, pp. 2987-3002, Dec. 2013.