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M. Rupp, A. Pérez-Neira, R. W. Heath, N. Jindal, C. Mecklenbräuker:
"Multiuser MIMO Transmission with Limited Feedback, Cooperation, and Coordination";
EURASIP Journal on Advances in Signal Processing, Special Issue on Multiuser MIMO Transmission with Limited Feedback, Cooperation, and Coordination (2009), 2 pages.

Wireless communication systems are already exploiting powerful multiple antenna technologies based on the principles of multiple input multiple output (MIMO) communication. By now, the principles of single user MIMO communication links are well understood. The next generation of systems, though, will use more advanced MIMO communication strategies that support multiuser MIMO. In this way, the spatial degrees of freedom can be better exploited by properly scheduling multiple users. However, multiple user communication with MIMO is more challenging than single user MIMO because channel state information at the transmitter is crucial to enhance the system capacity and also due to the additional degrees of freedom entailed by suppressing, cancelling, or avoiding interference. For example, limited feedback algorithms that are used to quantize channel state information at the receiver and send this information back to the transmitter(s) or relay(s) become more complex, since they need much higher resolution to achieve similar performance as their single-user counterparts. Consequently, advances in limited feedback communication are still required to make multiuser MIMO viable in next-generation systems.

Although using multiuser MIMO within individual cells has considerable potential, even larger performance gains can be achieved by using multiuser MIMO across cooperative base stations. In the ideal case with perfect cooperation across all cells, the set of all base station antennas can be thought of as a single, distributed antenna array. Significant gains can also be achieved by some level of local coordination, for example, neighboring base stations might jointly choose beamforming directions in order to achieve interference alignment. In this general setting, there are fundamental challenges associated with transceiver design, limited channel information, and cooperative mechanisms.

MIMO communications, performance evaluation, MIMO-OFDM, MU-MIMO

http://dx.doi.org/10.1155/2009/480179

http://www.hindawi.com/journals/asp/2009/480179.html