Distributed downlink beamforming with cooperative base stations
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2008-12-15
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IEEE Transactions on Information Theory
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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Melbourne Authors
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Ng, B. L., Evans, J. S., Hanly, S. V. & Aktas, D. (2008). Distributed downlink beamforming with cooperative base stations. IEEE Transactions on Information Theory, 54 (12), pp.5491-5499. https://doi.org/10.1109/TIT.2008.2006426.
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Abstract
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 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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Artificial Intelligence and Image Processing