2016 · 49 citations · 16 references
EngineeringCommunicationElectrical EngineeringAntennasInformation TheoryWireless CommunicationsChannel CapacityChannel EstimationErgodic TheoryMassive Multiple-input Multiple-outputMimo AntennasWireless Channel ModelingChannel State InformationFadingFading CharacteristicsFading StatisticsLarge-scale FadingLower BoundsMassive Mimo Channel State InformationMultiuser Massive Mimo
In this correspondence, we analyze the ergodic capacity of a large uplink multi-user multiple-input multiple-output (MU-MIMO) system over generalized-$K$ fading channels. In the considered scenario, multiple users transmit their information to a base station equipped with a very large number of antennas. Since the effect of fast fading asymptotically disappears in massive MIMO systems, large-scale fading becomes the most dominant factor for the ergodic capacity of massive MIMO systems. Regarding this fact, in our work we concentrate our attention on the effects of large-scale fading for massive MIMO systems. Specifically, some interesting and novel lower bounds of the ergodic capacity have been derived with both perfect channel state information (CSI) and imperfect CSI. Simulation results assess the accuracy of these analytical expressions.
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Handbook of Mathematical Functions
Donald A. McQuarrie · American Journal of Physics · 1966 · 40.9K citations
Table of Integrals, Series, and Products
I. S. Gradshteyn, I.M. RYZHIK, D. F. Hays · Journal of Lubrication Technology · 1976 · 4.7K citations · Full text