IRS Enhanced UAV Network Resource Allocation for 5G and Beyond Communication

Abstract

Heterogeneous networks, or HetNet’s which are made up of different communication technologies are increasingly indispensable Elements necessary to achieve the high data rate requirements for future wireless systems. Terahertz (THz)-based communication, the deployment of unmanned aerial vehicles (UAVs) and the integration of Intelligent Reflecting Surfaces (IRS) are considered key pillars in offering such features. UAVs are employed to deliver communication in infrastructureless or crowded environments. THz technology represents a new frontier in wireless communication that could enable the provision of enormous data speeds. IRSs are deployed to improve signal propagation, enhance coverage, and optimize system performance, particularly in challenging environments with high interference. This study examines a multi-tier HetNet that consists of sub-6GHz UAVs, THz-frequency small base stations (BSs), and a sub-6GHz MacroBSs, with the deployment of IRSs further enhancing the network’s coverage and capacity. SINR and rate coverage probabilities are used as performance indicators for quality of service (QoS). By adjusting various settings, we examine how well the HetNet setup affects network performance. It has been observed in simulations that the use of HetNet significantly improves the SINR and rate coverage probabilities with the aid of IRS.