Hybrid Active/Passive Wireless Network Aided by Intelligent Reflecting Surface: System Modeling and Performance Analysis
arXiv:2004.13318
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 based on stochastic geometry. Compared to prior works on characterizing the performance of wireless networks with active BSs only, our analysis needs to derive the power distributions of both the signal and interference reflected by distributed IRSs in the network under spatially correlated channels, which exhibit channel hardening effects when the number of IRS elements becomes large. Extensive numerical results are presented to validate our analysis and demonstrate the effectiveness of deploying distributed IRSs in enhancing the hybrid network throughput against the conventional network without IRS, which significantly boosts the signal power but results in only marginally increased interference in the network. Moreover, it is unveiled that there exists an optimal IRS/BS density ratio that maximizes the hybrid network throughput subject to a total deployment cost given their individual costs, while the conventional network without IRS is generally suboptimal in terms of throughput per unit cost.
To appear in IEEE Trans. Wireless Commun.. First work to model large-scale multi-cell hybrid network with distributed active BSs and passive IRSs subjected to inter-cell interference, and characterize distributions of signal/interference power, SINR and spatial throughput based on stochastic geometry. Unveil that an optimal IRS/BS density ratio exists in achieving sustainable capacity growth
References in corpus (7)
- Intelligent Reflecting Surface-Assisted Multiple Access with User Pairing: NOMA or OMA?
- Secure Wireless Communication via Intelligent Reflecting Surface
- Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer
- MISO Wireless Communication Systems via Intelligent Reflecting Surfaces
- Spatial Throughput Characterization for Intelligent Reflecting Surface Aided Multiuser System
- Analysis and Optimization of Outage Probability in Multi-Intelligent Reflecting Surface-Assisted Systems
- A Simple Design of IRS-NOMA Transmission
Cited by in corpus (10)
- RIS-Assisted Coverage Enhancement in Millimeter-Wave Cellular Networks
- Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial
- MIMO Assisted Networks Relying on Intelligent Reflective Surfaces
- Multi-RIS-aided Wireless Systems: Statistical Characterization and Performance Analysis
- IRS-Empowered Wireless Communications: State-of-the-Art, Key Techniques, and Open Issues
- Modeling RIS Empowered Outdoor-to-Indoor Communication in mmWave Cellular Networks
- Modeling and Coverage Analysis for RIS-aided NOMA Transmissions in Heterogeneous Networks
- Machine Learning Empowered Resource Allocation in IRS Aided MISO-NOMA Networks
- Distributed IRS with Statistical Passive Beamforming for MISO Communications
- Energy Efficient Robust Beamforming and Cooperative Jamming Design for IRS-Assisted MISO Networks