Distributed IRS with Statistical Passive Beamforming for MISO Communications
arXiv:2009.06286
Abstract
Intelligent reflecting surface (IRS) has recently been identified as a prominent technology with the ability of enhancing wireless communication by dynamically manipulating the propagation environment. This paper investigates a multiple-input single-output (MISO) system deploying distributed IRSs. For practical considerations, we propose an efficient design of passive reflecting beamforming for the IRSs to exploit statistical channel state information (CSI) and analyze the achievable rate of the network taking into account the impact of CSI estimation error. The ergodic achievable rate is derived in a closed form, which provides insightful system design guidelines. Numerical results confirm the accuracy of the derived results and unveil the performance superiority of the proposed distributed IRS deployment over the conventional centralized deployment.
arXiv comment12 pages, 3 figures
References in corpus (4)
- Power Scaling of Uplink Massive MIMO Systems with Arbitrary-Rank Channel Means
- Spatial Throughput Characterization for Intelligent Reflecting Surface Aided Multiuser System
- Performance Analysis of Multi-User Massive MIMO Downlink under Channel Non-Reciprocity and Imperfect CSI
- Hybrid Active/Passive Wireless Network Aided by Intelligent Reflecting Surface: System Modeling and Performance Analysis