Comparison of Distributed Beamforming Algorithms for MIMO Interference Networks

This paper presents a comparative study of algorithms for jointly optimizing beamformers and receive filters in an interference network, where each node may have multiple antennas, each user transmits at most one data stream, and interference is treated as noise. We focus on techniques that seek goo...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 61; no. 13; pp. 3476 - 3489
Main Authors:	Schmidt, David A., Shi, Changxin, Berry, Randall A., Honig, Michael L., Utschick, Wolfgang
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.07.2013 Institute of Electrical and Electronics Engineers
Subjects:	Applied sciences Array signal processing beamforming Classification algorithms Convergence Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory Interference interference alignment Iterative methods MIMO interference channel Power control precoder optimization Pricing Resource management Signal and communications theory Signal processing algorithms Signal to noise ratio Signal, noise sum-rate maximization Telecommunications and information theory Performance evaluation MIMO system precoder optimization Coding circuit Updating Iterative method MIMO interference channel Beam forming Nodes Optimization Mean square error sum-rate maximization interference alignment Distributed algorithm Pricing Signal processing Numerical simulation Tariffication Signal to interference plus noise ratio beamforming Antenna array Information exchange Comparative study Signal to noise ratio
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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