Advances in Wishart-Type Modelling of Channel Capacity

Advances in Wishart-Type Modelling of Channel Capacity

Blog Article

This paper paves the way when the assumption of normality is challenged within the wireless communications Ball - Umpire 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 SUPER 5 PLUS LOZENGE variate t distribution compared to the usual complex matrix variate normal assumption.