NDLI: Beamforming techniques for single-beam MIMO interference networks

Content Provider	IEEE Xplore Digital Library
Author	Schmidt, D.A. Utschick, W. Honig, M.L.
Copyright Year	2010
Description	Author affiliation: Associate Institute for Signal Processing, Technische Universität München, 80290 Munich, Germany (Schmidt, D.A.; Utschick, W.) \|\| Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208, USA (Honig, M.L.)
Abstract	We consider the joint optimization of beamformers and linear receivers in a MIMO interference network. Each transmitter transmits a single beam corresponding to a rank-one precoder. When the number of users K is greater than the number of antennas at each terminal N, the maximum degrees of freedom is achieved via spatial interference alignment. Interference alignment is feasible for up to K = 2N−1 users, in which case there is a finite number of solutions to the alignment conditions. This number of solutions increases rapidly with N, and the solutions depend only on the cross-channel coefficients (i. e., they are independent of the direct channels). To maximize the achievable sum rate at high SNRs we therefore wish to select an aligned solution which is best matched to the direct channels. We evaluate the performance of this scheme for large K and N, assuming that the solution is the best out of a random subset of aligned solutions. We then compare numerically this performance with the performance of previously proposed numerical (e. g., forward-backward) techniques for optimizing beams, and a new technique which tracks the local optimum as the SNR is incrementally increased, similar to a homotopy method for improving convergence properties. We observe that the incremental technique typically achieves better performance than the previously proposed methods.
Starting Page	1182
Ending Page	1187
File Size	327990
Page Count	6
File Format	PDF
ISBN	9781424482153
e-ISBN	9781424482160
DOI	10.1109/ALLERTON.2010.5707048
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transmitters Array signal processing Interference Receivers Approximation algorithms Approximation methods Signal to noise ratio
Content Type	Text
Resource Type	Article

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