Socially Aware V2X Networks With RIS: Joint Resource Optimization

• Published in: IEEE transactions on vehicular technology Vol. 71; no. 6; pp. 6732 - 6737
• Main Authors: Gu, Xiaohui, Duan, Wei, Zhang, Guoan, Ji, Yancheng, Wen, Miaowen, Ho, Pin-Han
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Communications systems; Device-to-device communication; Interference channels; Links; Optimization; Quality of service; Reconfigurable intelligent surface; Resource allocation; Resource management; resource optimization; social trust; Uplink; V2X; Vehicle-to-everything; Vehicle-to-infrastructure
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2022.3158955

Inspired by the promising potentialof reconfigurable intelligent surface (RIS)-based transmission, this paper investigates the RIS-aided vehicle-to-everything (V2X) communication system with the social trust, where multiple vehicle-to-infrastructure (V2I) links share the spectrum with vehicle-to-vehicle (V2V) links. Subject to the reliability constraint of V2V links, the sum V2I link capacity is maximized, through jointly optimizing the power allocation, RIS reflection coefficients and spectrum allocation. The formulated mix-integer and non-convex problem is effectively converted into three subproblems, which can be iteratively solved by our proposed three-stage joint resource allocation and RIS optimization (JRARO) algorithm. Simulation results demonstrate the effectiveness of the proposed algorithm, and that the RIS can significantly improve the quality of vehicular communications in terms of the sum V2I capacity.