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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Veröffentlicht in:IEEE transactions on signal processing Jg. 59; H. 3; S. 1142 - 1157
Hauptverfasser: Liu, Ya-Feng, Dai, Yu-Hong, Luo, Zhi-Quan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.03.2011
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
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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Zusammenfassung: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.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2010.2092772