Distributed Downlink Beamforming With Cooperative Base Stations
Boon Loong Ng, Jamie S Evans, Stephen V Hanly, Defne Aktas
IEEE TRANSACTIONS ON INFORMATION THEORY | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2008
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 netwo..View full abstract
This work was supported by the Australian Research Council. The material in this paper was presented in part at the 2005 IEEE International Symposium on Information Theory, Adelaide, Australia, September 2005 and the 2007 IEEE International Symposium on Information Theory, Nice, France, June 2007.