Journal
IEEE TRANSACTIONS ON INFORMATION THEORY
Volume 54, Issue 12, Pages 5491-5499Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2008.2006426
Keywords
Cooperative base stations; distributed algorithm; downlink beamforming; Kalman smoothing; linear mean square error (LMMSE); localized interference; message passing; multicell processing; multiple-input-multiple-output (MIMO); sum-product algorithm
Funding
- Australian Research Council
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In this paper, we consider multicell processing on the downlink of a cellular network to accomplish macrodiversity transmit beamforming. The particular downlink beamformer structure we consider allows at 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 or 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 it 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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