Publication | Closed Access
On the capacity of spatially correlated mimo rayleigh-fading channels
702
Citations
28
References
2003
Year
Wireless CommunicationsMimo SystemMimo ChannelsEngineeringMimo Rayleigh-fading ChannelsMimoChannel Capacity EstimationMultiuser MimoAntennaFading ChannelMimo System CapacityChannel CharacterizationSignal ProcessingCapacity Distribution
The paper investigates the capacity distribution of spatially correlated MIMO channels. We derive a closed‑form characteristic function for the capacity of such channels, from which the pdf, CDF, outage probability, and mean capacity can be exactly evaluated for arbitrary correlation matrices. The results apply to any antenna configuration and demonstrate that capacity loss is negligible even with a correlation coefficient of 0.5 under an exponential correlation model.
In this paper, we investigate the capacity distribution of spatially correlated, multiple-input-multiple-output (MIMO) channels. In particular, we derive a concise closed-form expression for the characteristic function (c.f.) of MIMO system capacity with arbitrary correlation among the transmitting antennas or among the receiving antennas in frequency-flat Rayleigh-fading environments. Using the exact expression of the c.f., the probability density function (pdf) and the cumulative distribution function (CDF) can be easily obtained, thus enabling the exact evaluation of the outage and mean capacity of spatially correlated MIMO channels. Our results are valid for scenarios with the number of transmitting antennas greater than or equal to that of receiving antennas with arbitrary correlation among them. Moreover, the results are valid for an arbitrary number of transmitting and receiving antennas in uncorrelated MIMO channels. It is shown that the capacity loss is negligible even with a correlation coefficient between two adjacent antennas as large as 0.5 for exponential correlation model. Finally, we derive an exact expression for the mean value of the capacity for arbitrary correlation matrices.
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