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Linear Framework of RIS-Assisted Downlink Communication System

Li, Shuaijun; Tang, Jie; Pan, Guixin; Yang, Guangguang; Wong, Kai-Kit; Davydov, Maksim V; (2024) Linear Framework of RIS-Assisted Downlink Communication System. In: 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). (pp. pp. 1-5). IEEE: Washington, DC, USA. Green open access

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Abstract

Reconfigurable intelligent surfaces (RIS) has emerged as a promising approach for efficiently enhancing communication performance via passive signal reflection. However, in high-mobility scenarios like vehicular communications, the rapidly changing channel presents challenges in acquiring instantaneous channel state information (CSI) for RIS systems with many reflectors, impacting transmission reliability. To overcome this issue, we present an innovative equivalent linear framework equipped with a low-complexity transmitter signal waveform design and receiver signal detection method for downlink communication systems, substantially enhancing stability in fast fading environments. Simulation results indicate that the proposed designs achieve higher communication reliability with low complexity, significantly improving performance in high-mobility scenarios.

Type: Proceedings paper
Title: Linear Framework of RIS-Assisted Downlink Communication System
Event: 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)
ISBN-13: 979-8-3315-1778-6
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/VTC2024-Fall63153.2024.10757698
Publisher version: https://doi.org/10.1109/VTC2024-Fall63153.2024.107...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Reconfigurable intelligent surfaces (RIS); highmobility communication; linear framework; waveform design; signal detection
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10203314
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