Abstract

For simulations of nonstationary multiple-input multiple-output (MIMO) Rayleigh fading channels in time-variant scattering environments, a novel channel simulator is proposed based on the superposition of chirp signals. This new method has the advantages of low complexity and implementation simplicity as the sum of sinusoids (SOS) method. In order to reproduce realistic time varying statistics for dynamic channels, an efficient parameter computation method is also proposed for updating the frequency parameters of employed chirp signals. Simulation results indicate that the proposed simulator is effective in generating nonstationary MIMO channels with close approximation of the time-variant statistical characteristics in accordance with the expected theoretical counterparts.

Highlights

  • Multiple-input multiple-output (MIMO) technologies are widely used to improve the channel capacity and frequency utilization ratio without increasing system bandwidth or transmitting power

  • Based on the modeling methodologies adopted, channel models can be classified into geometrically based stochastic models (GBSMs) and correlation-based stochastic models (CBSMs) [7]

  • A new simulation model originating from SOC method has been proposed to generate multiple nonstationary Rayleigh fading processes, which are very useful for the simulation of MIMO channel in time-variant richscattering environments as in V-V communication scenarios

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Summary

Introduction

Multiple-input multiple-output (MIMO) technologies are widely used to improve the channel capacity and frequency utilization ratio without increasing system bandwidth or transmitting power. The WSS assumption is not always satisfied, because the time-variant scattering environments, such as vehicle-to-vehicle (V2V) channel [3] and high-speed train channel [4], will change the statistical properties of MIMO channel over time. The conventional Kronecker model is extended in this paper for reconstructing correlated nonstationary MIMO Rayleigh fading channel observed in time-variant scattering environments. We propose a new SOC simulator based on the sum of chirp signals to generate multiple independent identically distributed (i.i.d.) Rayleigh fading channels of time-variant statistical characteristics.

Nonstationary MIMO Channel Model
Multiple Stationary Rayleigh Fading Channels
Nonstationary Channel Simulator
Simulation and Validation
Findings
Conclusion
Full Text
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