MIMO Channel Modeling and Capacity Analysis for 5G Millimeter-Wave Wireless Systems

TL;DR

This paper develops a 3-D statistical MIMO channel model for 5G millimeter-wave systems based on real measurements, analyzing capacity and spatial correlation for multi-element antenna arrays.

Contribution

It introduces a physically-based TCSL clustering scheme for modeling millimeter-wave MIMO channels with small-scale spatial correlation derived from real measurements.

Findings

Rician channels can have equal or greater capacity than Rayleigh channels.

The model captures small-scale spatial correlation effects.

Capacity varies with the number of antennas.

Abstract

This paper presents a 3-D statistical channel model of the impulse response with small-scale spatially correlated random coefficients for multi-element transmitter and receiver antenna arrays, derived using the physically-based time cluster - spatial lobe (TCSL) clustering scheme. The small-scale properties of multipath amplitudes are modeled based on 28 GHz outdoor millimeter-wave small-scale local area channel measurements. The wideband channel capacity is evaluated by considering measurement-based Rician-distributed voltage amplitudes, and the spatial autocorrelation of multipath amplitudes for each pair of transmitter and receiver antenna elements. Results indicate that Rician channels may exhibit equal or possibly greater capacity compared to Rayleigh channels, depending on the number of antennas.