Belief propagation with Gaussian priors for pilot-assisted communication over fading ISI channels
IEEE Transactions on Wireless Communications
A WiMAX-based implementation of network MIMO for indoor wireless systems
EURASIP Journal on Advances in Signal Processing - Multiuser MIMO Transmission with Limited Feedback, Cooperation, and Coordination
Multi-cell MIMO cooperative networks: a new look at interference
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Adaptive spatial intercell interference cancellation in multicell wireless networks
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Performance analysis of MIMO cellular network with channel estimation errors
IEEE Transactions on Wireless Communications
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This paper considers the problem of joint detection in the uplink of cellular multiaccess networks with base-station cooperation. Distributed multiuser detection algorithms with local message passing among neighbor base stations are proposed and compared in terms of computational complexity required in the base stations, the amount of serial communications among them, error rate performance, and convergence speed. The algorithms based on the belief propagation algorithm result in complexity and delay per base station which do not grow as the network size increases. In addition, it is observed that these algorithms have near single-user error rate performance for the fading channels considered. Thus it is illustrated that using the belief propagation algorithm, it is possible to have full frequency re-use and achieve near-optimal performance with moderate computational complexity and a limited amount of message passing between base stations of adjacent cells.