Preliminary Analysis of Channel Capacity in Air to ground LoS MIMO Communication Based on A Cloud Modeling Method

TL;DR

This paper investigates how clouds in the troposphere affect the channel capacity of air-to-ground LoS MIMO systems, proposing a cloud modeling method to analyze phase variations and capacity limits.

Contribution

It introduces a new cloud modeling approach based on real data to analyze LoS MIMO channel capacity in cloud-covered environments.

Findings

Cloud presence can loosen antenna spacing requirements for LoS MIMO.

The proposed model captures phase variations caused by clouds.

Preliminary capacity analysis shows potential for improved coverage.

Abstract

Since the orthogonality of the line-of-sight multiple input multiple output (LoS MIMO) channel is only available within the Rayleigh distance, coverage of communication systems is restricted due to the finite implementation spacing of antennas. However, media with different permittivity in the transmission path are likely to loosen the requirement for antenna spacing. Such a conclusion could be enlightening in an air-to-ground LoS MIMO scenario considering the existence of clouds in the troposphere. To analyze the random phase variations in the presence of a single-layer cloud, we propose and modify a new cloud modeling method fit for LoS MIMO scene based on real-measurement data. Then, the preliminary analysis of channel capacity is conducted based on the simulation result.