Journal
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Volume 59, Issue 9, Pages 4331-4340Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2011.2147784
Keywords
Linear beamformer; MIMO interfering broadcast channel; sum-utility maximization; weighted MMSE; weighted sum-rate maximization
Categories
Funding
- Army Research Office [W911NF-09-1-0279]
- National Science Foundation [CMMI-0726336]
- China Scholarship Council
- Important National Science & Technology Specific Projects [2010ZX03003-002-03, 2011ZX03003-001-03]
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Consider the multiple-input multiple-output (MIMO) interfering broadcast channel whereby multiple base stations in a cellular network simultaneously transmit signals to a group of users in their own cells while causing interference to each other. The basic problem is to design linear beamformers that can maximize the system throughput. In this paper, we propose a linear transceiver design algorithm for weighted sum-rate maximization that is based on iterative minimization of weighted mean-square error (MSE). The proposed algorithm only needs local channel knowledge and converges to a stationary point of the weighted sumrate maximization problem. Furthermore, the algorithm and its convergence can be extended to a general class of sum-utility maximization problem. The effectiveness of the proposed algorithm is validated by numerical experiments.
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