Bi-Directional Training for Adaptive Beamforming and Power Control in Interference Networks

We study distributed algorithms for adapting transmit beamformers and linear receiver filters in a Time-Division Duplex Multiple-Input Multiple-Output (MIMO) interference network. Each transmitter transmits a single beam, and neither the transmitters nor receivers have a priori Channel State Informa...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 62; H. 3; S. 607 - 618
Hauptverfasser:	Changxin Shi, Berry, Randall A., Honig, Michael L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.02.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	adaptive beamforming Algorithms Applied sciences Bidirectional control Channel estimation Channels Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory Interference interference networks MIMO Multiplexing Networks Power control precoder optimization Receivers Signal and communications theory Signal to noise ratio Signal, noise Telecommunications and information theory Training Transmitters Performance evaluation Multiplexing Parameter estimation Bidirectional link adaptive beamforming Transmitter Updating interference networks Beam forming Implementation Learning Least squares method Channel estimation Pricing MIMO precoder optinization MIMO system Coding circuit Weighting Power control Linear filter Distributed algorithm A priori estimation Signal processing Numerical simulation Tariffication Signal to interference plus noise ratio
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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