IEEE Transactions on Wireless Communications · 2004 · 39 citations · 13 references
EngineeringCommunicationElectrical EngineeringAntennasOptimizationWireless CommunicationsBeamformingChannel CapacityDigital Signal ProcessingDiversity TechniquesMimo AntennasMultiple Access TechniquesChannelsMimoMimo SystemsMultiuser CommunicationMultiuser Multiple Input Multiple OutputThroughputTime Division Multiple Access
In this letter, we introduce five different strategies of linear transmit signal processing for multiuser multiple-input multiple-output (MIMO) systems and provide performance comparisons in terms of maximum throughput in both uncorrelated and correlated channels when the number of transmit antennas is much larger than the number of receive antennas. It is shown that the multiuser MIMO schemes are preferable to time-division multiple-access (TDMA)-based MIMO schemes, hence demonstrating the power of multiuser MIMO signal processing. Our work also indicates possibilities for future research in finding efficient suboptimal algorithms. As an example, we show that our multiuser MIMO decomposition scheme can improve the maximum throughput compared to TDMA-based MIMO schemes for large number of transmit antennas or high transmit power.
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Capacity of Multi‐antenna Gaussian Channels
Emre Telatar · European Transactions on Telecommunications · 1999 · 11.3K citations · Full text
Stéphane Crépey, Olivier Guéant, David Hobson et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2011 · 10.2K citations
Writing on dirty paper (Corresp.)
Mónica Costa · IEEE Transactions on Information Theory · 1983 · 3.8K citations