Coordinated Beamforming for MISO Interference Channel: Complexity Analysis and Efficient Algorithms

In a cellular wireless system, users located at cell edges often suffer significant out-of-cell interference. Assuming each base station is equipped with multiple antennas, we can model this scenario as a multiple-input single-output (MISO) interference channel. In this paper we consider a coordinat...

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Vydané v:	IEEE transactions on signal processing Ročník 59; číslo 3; s. 1142 - 1157
Hlavní autori:	Liu, Ya-Feng, Dai, Yu-Hong, Luo, Zhi-Quan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.03.2011 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Antennas Applied sciences Array signal processing Base stations Beamforming Channels Complexity coordinated beamforming cyclic coordinate descent algorithm Detection, estimation, filtering, equalization, prediction Exact sciences and technology global convergence Harmonic analysis Information, signal and communications theory Interference Interference channels Maximization Miscellaneous MISO interference channel Optimization Polynomials Signal and communications theory Signal processing Signal, noise Stations Telecommunications and information theory Utilities Wireless communications Performance evaluation Harmonic Base station Wireless telecommunication Information rate Transmitter Equity Downlink Updating Cell network Beam forming Complexity MISO interference channel MISO system Antenna array Information exchange Antenna Mobile radiocommunication Computer simulation global convergence cyclic coordinate descent algorithm Single carrier coordinated beamforming Algorithm Information transmission Algorithm performance NP hard problem Signal processing
ISSN:	1053-587X, 1941-0476
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Popis
Shrnutí:	In a cellular wireless system, users located at cell edges often suffer significant out-of-cell interference. Assuming each base station is equipped with multiple antennas, we can model this scenario as a multiple-input single-output (MISO) interference channel. In this paper we consider a coordinated beamforming approach whereby multiple base stations jointly optimize their downlink beamforming vectors in order to simultaneously improve the data rates of a given group of cell edge users. Assuming perfect channel knowledge, we formulate this problem as the maximization of a system utility (which balances user fairness and average user rates), subject to individual power constraints at each base station. We show that, for the single-carrier case and when the number of antennas at each base station is at least two, the optimal coordinated beamforming problem is NP-hard for both the harmonic mean utility and the proportional fairness utility. For general utilities, we propose a cyclic coordinate descent algorithm, which enables each transmitter to update its beamformer locally with limited information exchange and establish its global convergence to a stationary point. We illustrate its effectiveness in computer simulations by using the space matched beamformer as the benchmark.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	1053-587X 1941-0476
DOI:	10.1109/TSP.2010.2092772