Cognitive MIMO radio: incorporating dynamic spectrum access in multiuser MIMO network
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
On the optimal performance of collaborative position location
IEEE Transactions on Wireless Communications
CSMA-based distributed scheduling in multi-hop MIMO networks under SINR model
INFOCOM'10 Proceedings of the 29th conference on Information communications
Distributed CSMA algorithms for link scheduling in multihop MIMO networks under SINR model
IEEE/ACM Transactions on Networking (TON)
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Maximizing the total mutual information of multiuser multiple-input multiple-output (MIMO) systems with interference is a challenging problem. In this paper, we consider the power control problem of finding the maximum sum of mutual information for a multiuser network with mutually interfered MIMO links. We propose a new and powerful global optimization method using a branch-and-bound (BB) framework, coupled with a novel reformulation-linearization technique (RLT). The proposed BB/RLT guarantees finding a global optimum for multiuser MIMO networks with interference. To reduce the complexity of BB/RLT, we propose a modified BB variable selection strategy to accelerate the convergence process. Numerical examples are also given to demonstrate the efficacy of the proposed solution.