Hybrid Active/Passive Wireless Network Aided by Intelligent Reflecting Surface: System Modeling and Performance Analysis
Jiangbin Lyu, Rui Zhang

TL;DR
This paper models and analyzes a hybrid wireless network with active base stations and passive intelligent reflecting surfaces (IRSs), demonstrating how distributed IRS deployment can significantly enhance throughput cost-effectively.
Contribution
It introduces a stochastic geometry-based system model for hybrid IRS-assisted wireless networks and characterizes their performance, revealing optimal IRS/BS density ratios for throughput maximization.
Findings
Distributed IRSs significantly boost network throughput.
Optimal IRS/BS density ratio exists for maximum throughput.
IRS deployment is more cost-effective than traditional networks.
Abstract
Intelligent reflecting surface (IRS) is a new and promising paradigm to substantially improve the spectral and energy efficiency of wireless networks, by constructing favorable communication channels via tuning massive low-cost passive reflecting elements. Despite recent advances in the link-level performance optimization for various IRS-aided wireless systems, it still remains an open problem whether the large-scale deployment of IRSs in wireless networks can be a cost-effective solution to achieve their sustainable capacity growth in the future. To address this problem, we study in this paper a new hybrid wireless network comprising both active base stations (BSs) and passive IRSs, and characterize its achievable spatial throughput in the downlink as well as other pertinent key performance metrics averaged over both channel fading and random locations of the deployed BSs/IRSs therein…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Optical Wireless Communication Technologies · UAV Applications and Optimization
