Stochastic Analysis of Homogeneous Wireless Networks Assisted by Intelligent Reflecting Surfaces
Ali H. Abdollahi Bafghi, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari,, Behrouz Maham, Umberto Spagnolini

TL;DR
This paper provides a stochastic analysis of homogeneous wireless networks with multiple IRSs, deriving bounds on signal power, interference, and outage probability, revealing how IRS density influences network performance.
Contribution
It introduces a novel stochastic geometric framework for analyzing IRS-assisted networks, deriving bounds on key performance metrics and demonstrating the impact of IRS density.
Findings
Increasing IRS density boosts desired signal and interference powers.
Higher IRS density reduces outage probability.
Derived bounds closely match numerical simulations.
Abstract
In this paper, we study the impact of the existence of multiple IRSs in a homogeneous wireless network, in which all BSs, users (U), and IRSs are spatially distributed by an independent homogeneous PPP, with density , , and , respectively. We utilize a uniformly random serving strategy for BS and IRS to create stochastic symmetry in the network. We analyze the performance of the network and study the effect of the existence of the IRS on the network performance. To this end, for a typical user in the system, we derive analytical upper and lower bounds on the expectation of the power (second statistical moment) of the desired signal and the interference caused by BSs and other users. After that, we obtain analytical upper bounds on the decay of the probability of the power of the desired…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Cooperative Communication and Network Coding
