Distributed Downlink Beamforming With Cooperative Base Stations

In this paper, we consider multicell processing on the downlink of a cellular network to accomplish ldquomacrodiversityrdquo transmit beamforming. The particular downlink beamformer structure we consider allows a recasting of the downlink beamforming problem as a virtual linear mean square error (LM...

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Veröffentlicht in:IEEE transactions on information theory Jg. 54; H. 12; S. 5491 - 5499
Hauptverfasser: Boon Loong Ng, Evans, J.S., Hanly, S.V., Aktas, D.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.12.2008
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Applied sciences
Array signal processing
Base stations
Beamforming
Cellular
Cellular communication
Convergence
Cooperative base stations
Detection, estimation, filtering, equalization, prediction
distributed algorithm
Downlink
downlink beamforming
Equipments and installations
Estimating techniques
Estimation error
Exact sciences and technology
Graphs
Information theory
Information, signal and communications theory
Kalman filters
Kalman smoothing
Land mobile radio cellular systems
linear mean square error (LMMSE)
localized interference
Mean square error methods
Mean square errors
Message passing
Mobile radiocommunication systems
multicell processing
multiple-input-multiple-output (MIMO)
Networks
Radiocommunications
Signal and communications theory
Signal, noise
Smoothing methods
Stations
Sum product algorithm
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Mobile radiocommunication
MIMO system
sum-product algorithm
Base station
Wireless telecommunication
Downlink
Cell network
multicell processing
localized interference
downlink beamforming
Beam forming
Mean square error
linear mean square error (LMMSE)
Cooperative base stations
Kalman smoothing
Message passing
Distributed algorithm
Telecommunication network
Delay time
Localization
multiple-input-multiple-output (MIMO)
ISSN:0018-9448, 1557-9654
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Beschreibung
Zusammenfassung:In this paper, we consider multicell processing on the downlink of a cellular network to accomplish ldquomacrodiversityrdquo transmit beamforming. The particular downlink beamformer structure we consider allows a recasting of the downlink beamforming problem as a virtual linear mean square error (LMMSE) estimation problem. We exploit the structure of the channel and develop distributed beamforming algorithms using local message passing between neighboring base stations. For 1-D networks, we use the Kalman smoothing framework to obtain a forward-backward beamforming algorithm. We also propose a limited extent version of this algorithm that shows that the delay need not grow with the size of the network in practice. For 2-D cellular networks, we remodel the network as a factor graph and present a distributed beamforming algorithm based on the sum-product algorithm. Despite the presence of loops in the factor graph, the algorithm produces optimal results if convergence occurs.
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ISSN:0018-9448
1557-9654
DOI:10.1109/TIT.2008.2006426