Elements of information theory
Elements of information theory
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints
IEEE Transactions on Signal Processing
Network coordination for spectrally efficient communications in cellular systems
IEEE Wireless Communications
Fast distributed multi-cell scheduling with delayed limited-capacity backhaul links
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A Utility-Based Joint Resource Allocation Approach for Multi-Service in CoMP Networks
Wireless Personal Communications: An International Journal
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This paper addresses the problem of base station coordination and cooperation in wireless networks with multiple base stations. We present a distributed approach to downlink multibase beamforming, which allows for the multiplexing of M user terminals, randomly located in a network with N base stations. In particular, we detail a low-complexity scheduling algorithm, which can be employed with different objective functions, exemplified here by two approaches: (1) maximizing the sum rate of the network; and (2) maximizing the number of users served, given a statistical constraint on the received rate per user. The optimizations are based on locally available information at each base station. Results show that our approaches yield significant gains, when compared to schemes that do not allow cooperation between cells. These gains are obtained without the extensive signaling overhead required in previously known multicell MIMO processing.