IEEE Signal Processing Letters · 2016 · 37 citations · 17 references
EngineeringCommunicationElectrical EngineeringAntennasOptimizationWireless CommunicationsBeamformingChannel EstimationChannel Performance AnalysisMassive Multiple-input Multiple-outputMimo AntennasWireless Channel ModelingChannel Estimation For Multiuser SystemsChannel State InformationCoherence TimeMassive Mimo BeamformingMassive Mimo Channel State InformationMimo SystemsTemporal CorrelationWireless Networking
We study the problem of throughput optimization in large multiple-input multiple-output (MIMO) beamforming systems with channel aging, as the number of transmit and receive antennas is increased. We quantify the effective channel coherence time in terms of the intertraining interval, which is the time after which the channel state information needs to be reestimated to avoid loss in performance due to outdated channel estimates. Conventional wisdom suggests that the coherence time of large MIMO systems should decrease with increasing number of antennas, because the system has a large number of independently varying channel coefficients. On the contrary, we show that the effective channel coherence time increases with the number of antennas. We optimize the throughput with respect to the symbol and pilot energies, the number of antennas, frame duration, and target SNR. This analysis brings out the important fact that the effective channel coherence time critically depends on the underlying signaling scheme, and not only on the temporal correlation coefficient of the wireless channel.
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