Year: 2022
Type: article
Abstract: Reconfigurable intelligent surfaces (RIS) is a revolutionary technology to cost-effectively improve the performance of wireless networks. We first review the existing framework of channel estimation and passive beamforming (CE & PBF) in RIS-assisted communication systems. To reduce the excessive pilot signaling overhead and implementation complexity of the CE & PBF framework, we conceive a codebook-based framework to strike flexible trade-offs between communication performance and signaling overhead. Moreover, we provide useful insights into the codebook design and learning mechanisms of the RIS reflection pattern. Finally, we analyze the scalability of the proposed framework by flexibly adapting the training overhead to the specified quality-of-service requirements and then elaborate on its appealing advantages over the existing CE & PBF approaches. It is shown that our novel codebook-based framework can be beneficially applied to all RIS-assisted scenarios and avoids the curse of model dependency faced by its existing counterparts, thus constituting a competitive solution for practical RIS-assisted communication systems.
Source: IEEE Wireless Communications
Authors: Jiancheng An, Chao Xu, Qingqing Wu, Derrick Wing Kwan Ng, Marco Di Renzo, Chau Yuen, Lajos Hanzo
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: Converged Optical and Wireless Access Networks (COALESCE), UKRI-India Future Networks Initiative, Reconfigurable Intelligent Sustainable Environments for 6G Wireless Networks, G1575861119, G2544329817, Artificial Intelligence Aided D-band Network for 5G Long Term Evolution, G3480082138, Cooperative backhaul aided next-generation digital subscriber loops, G4937468798, G5045220161, G5532616604, Drone-based Communications for High-speed Beyond 5G Wireless Systems, G6158505172, India-UK advanced technology centre, UKRI-India Future Networks Initiative, G6495392424, India-UK Advanced Technology Centre (IU-ATC) of Excellence in Next Generation Networks Systems and Services, G6840171022, G6854926366, G7450912468, G98633222
OpenAlex ID: W4312563363