Performance Analysis of MIMO-MRC in Double-Correlated Rayleigh Environments

By Matthew R. McKay, A. Grant, Iain B. Collings. IEEE Transactions on Communications, 2005

296 citations recorded by the source corpus.

We consider multiple-input multiple-output (MIMO) transmit beamforming systems with maximum ratio combining (MRC) receivers. The operating environment is Rayleigh fading with both transmit and receive spatial correlation. We present exact expressions for the probability density function (pdf) of the output signal-to-noise ratio, as well as the system outage probability. The results are based on explicit closed-form expressions which we derive for the pdf and cumulative distribution function of the maximum eigenvalue of double-correlated complex Wishart matrices. For systems with two antennas at either the transmitter or the receiver, we also derive exact closed-form expressions for the symbol-error rate. The new expressions are used to prove that MIMO-MRC achieves the maximum available spatial diversity order, and to demonstrate the effect of spatial correlation. The analysis is validated through comparison with Monte Carlo simulations

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/c1783bdce9980dbb1a7a4ca19a9475467362c2d9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, background): “Analytic expressions for the average performance with MRT can be derived, for example, for point-to-point systems [63, 178, 317].”