Ferreira, Johannes TheodorusBekker, Andriette, 1958-Arashi, Mohammad2018-05-242018-05-242020-07Ferreira, J.T., Bekker, A. & Arashi, M. 2020, 'Advances in Wishart type modeling for channel capacity', RevStat : Statistical Journal, vol. 18, no. 3, pp. 237-255.1645-6726 (online)http://hdl.handle.net/2263/65000This paper paves the way when the assumption of normality is challenged within the wireless communications systems arena. Innovative results pertaining to the distributions of quadratic forms and their associated eigenvalue density functions for the complex elliptical family are derived, which includes an original Rayleigh-type representation of channels. The presented analytical framework provides computationally convenient forms of these distributions. The results are applied to evaluate an important information-theoretic measure, namely channel capacity. Superior performance in terms of higher capacity of the wireless channel is obtained when considering the underlying complex matrix variate t distribution compared to the usual complex matrix variate normal assumption.en© 2018, National Statistical Institute. All rights reserved.. This is an Open Access article distributed under the terms of the Creative Commons Attribution License.Channel capacityComplex matrix variate tComplex WishartEigenvaluesQuadratic formRayleigh-type MIMO channelPostprint Article