SINR Coverage Enhancement of 6G UAV-Assisted Networks Deploying IRS

TL;DR

This paper investigates how deploying intelligent reflecting surfaces (IRS) in UAV-assisted 6G networks can significantly improve SINR coverage probability and reduce energy consumption, compared to conventional models.

Contribution

It introduces IRS-assisted UAV communication models and demonstrates their advantages over traditional UAV networks in terms of coverage and energy efficiency.

Findings

IRS deployment enhances SINR coverage probability

IRS reduces energy consumption in UAV networks

Significant performance improvements over conventional models

Abstract

The objective of the work is to enhance the signal-to-interference-plus-noise ratio (SINR) coverage probability in UAV-assisted 6G wireless networks. Therefore, the work analyzed and compared the coverage probability of conventional and IRS-assisted UAV communications models. The research obtained that the employment of IRS in UAV-assisted wireless networks enhances the SINR coverage probability significantly. Moreover, the installment of IRS in UAV networks reduces the energy consumption of the network.