A stochastic MIMO radio channel model with experimental validation

TLDR

The paper presents theoretical and experimental studies of MIMO radio channels. The authors develop a narrowband stochastic MIMO model that uses mobile‑station and base‑station correlation matrices derived from existing SISO studies, validate it with picocell and microcell measurements, and use it to analyze capacity under water‑filling and uniform power allocation for 4×4 and 2×4 antenna configurations. Space diversity at both ends yields efficient performance in picocell environments, achieving capacities within 14–16 b/s/Hz in 80 % of cases for a 4×4 antenna setup with water‑filling at 20 dB SNR.

Abstract

Theoretical and experimental studies of multiple-input/multiple-output (MIMO) radio channels are presented. A simple stochastic MIMO model channel has been developed. This model uses the correlation matrices at the mobile station (MS) and base station (BS) so that results of the numerous single-input/multiple-output studies that have been published in the literature can be used as input parameters. The model is simplified to the narrowband channels. The validation of the model is based upon data collected in both picocell and microcell environments. The stochastic model has also been used to investigate the capacity of MIMO radio channels, considering two different power allocation strategies, water filling and uniform and two different antenna topologies, 4/spl times/4 and 2/spl times/4. Space diversity used at both ends of the MIMO radio link is shown to be an efficient technique in picocell environments, achieving capacities within 14 b/s/Hz and 16 b/s/Hz in 80% of the cases for a 4/spl times/4 antenna configuration implementing water filling at a SNR of 20 dB.