Title :
Adaptive Limited Feedback for Sum-Rate Maximizing Beamforming in Cooperative Multicell Systems
Author :
Bhagavatula, Ramya ; Heath, Robert W., Jr.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
Abstract :
Base station cooperation improves the sum-rates that can be achieved in cellular systems. Conventional cooperation techniques require sharing large amounts of information over finite-capacity backhaul links and assume that base stations have full channel state information (CSI) of all the active users in the system. In this paper, a new limited feedback strategy is proposed for multicell beamforming where cooperation is restricted to sharing only the CSI of active users among base stations. The system setup considered is a linear array of cells based on the “soft hand-off model,” where each cell contains single-antenna users and multi-antenna base stations. Beamforming vectors are designed using a generalized eigenvector approach to maximize the sum-rate in a single-interferer scenario, at high signal to noise ratio. Users are assumed to feedback quantized CSI of the desired and interfering channels using a finite-bandwidth feedback link. An upper bound on the mean loss in sum rate due to random vector quantization is derived. A new feedback-bit allocation strategy, to partition the available bits between the desired and interfering channels, is developed to reduce the mean loss in sum-rate due to quantization for the soft hand-off model. The proposed feedback-bit partitioning algorithm is shown, using simulations, to yield sum-rates close to the those obtained using full CSI at base station.
Keywords :
array signal processing; vector quantisation; adaptive limited feedback; base station cooperation; cellular systems; channel state information; cooperative multicell systems; feedback quantized CSI; feedback-bit allocation strategy; finite-bandwidth feedback link; finite-capacity backhaul links; interfering channels; multi-antenna base stations; multicell beamforming; random vector quantization; soft hand-off model; sum-rate maximizing beamforming; Array signal processing; Base stations; Encoding; Materials; Partitioning algorithms; Signal to noise ratio; Upper bound; Base station cooperation; feedback-bit partitioning; limited feedback;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2010.2090346