arrow
Return

Socially Aware V2X Networks With RIS: Joint Resource Optimization

delete2022-06-01
delete17
PRE
AI
X
Xiaohui Gu
W
Wei Duan
G
Guoan Zhang *
Y
Yancheng Ji
M
Miaowen Wen
P
Pin–Han Ho
DOI:10.1109/TVT.2022.3158955delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
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.
Keywords:
Resource management
Device-to-device communication
Optimization
Vehicle-to-everything
Quality of service
Interference channels
Uplink
Reconfigurable intelligent surface
V2X
social trust
resource optimization

Journal

IEEE Transactions on Vehicular Technology cover
IEEE Transactions on Vehicular Technology
IF:
7.1
Papers:
1.8W
Citations:
6.6W

Organization

U
University of Waterloo
Scholars:
2.2W
Papers: 2.3W
Citations: 3.3W
N
Nantong University
Scholars:
1.9W
Papers: 1.1W
Citations: 2.0W
S
south china university of technology
Scholars:
6.6W
Papers: 5.0W
Citations: 85
researcher View more organizations