학술논문

Environment-Aware Joint Active/Passive Beamforming for RIS-Aided Communications Leveraging Channel Knowledge Map
Document Type
Periodical
Source
IEEE Communications Letters IEEE Commun. Lett. Communications Letters, IEEE. 27(7):1824-1828 Jul, 2023
Subject
Communication, Networking and Broadcast Technologies
Array signal processing
Wireless communication
Training
Channel estimation
Signal to noise ratio
Interference
Sensors
Channel knowledge map
energy efficiency
reconfigurable intelligent surface
Language
ISSN
1089-7798
1558-2558
2373-7891
Abstract
Reconfigurable intelligent surface (RIS)-aided communication is a promising technology for 6G systems to reconfigure the propagation environment proactively. However, it requires efficient real-time channel training, which suffers excessive overhead. To resolve this challenge, taking advantage of sensing with radio waves and localization, we propose a novel environment-aware joint active/passive beamforming for RIS-aided wireless communication based on the new concept of channel knowledge map (CKM). In the proposed scheme, the user equipments (UEs) location information is combined with the radio environment information provided by CKM to achieve efficient beamforming without real-time training. Simulation results show the proposed scheme’s superior performance over training-based beamforming, which is also quite robust to errors related to UE’s location in practice.