Benjamin Meaker visiting Professor: Peter Smith

Date: 26 July 2018

Time: 2pm

Location: Howard House, Level 4 Seminar Room

Large wireless communication networks are widely believed to offer

“free” interference reduction. This has led to a huge growth of research

in performance analysis of large systems, where many users communicate

with 100s of antennas located in a large array of antennas. Since

wireless channels are often modelled as random Gaussian matrices, a

considerable body of work now exists on the effect of large random

matrices in performance analysis. The process where large numbers of

antennas automatically removes interference is called favourable

propagation and is a property of large random vectors. However, in

contrast to the statistical Gaussian channel models, more fundamental

channel models are also of interest based on physical ray-tracing. In

this talk I demonstrate that the two types of models lead to very

different conclusions. In order to do this, the asymptotic interference

variable is analysed as the numbers of antennas and users in the system

grows to infinity.