Abstract
Vehicular communications have witnessed remarkable achievements throughout the last few years on the way of providing reliable, safe, and affordable travel experience. Such achievements have not only skyrocketed the demand to the current services of vehicular communications, but also exploited many new services. To meet different Quality-of-Service (QoS) requirements of vehicular communications services, we assume the adoption of the hybrid OMA/NOMA-enabled access scheme as well as deploying intelligent reflecting surface (IRS) in such highly dynamic environments. We focus on maximizing the total system sum rate via jointly optimizing the transmit power allocation, the IRS’s phase shift, and the vehicle active beamforming under different QoS levels, in terms of reliability and rate constraints of vehicles. To tackle such an optimization problem, we divide the original problem into three subproblems, and propose an efficient iterative suboptimal algorithm. Specifically, the successive convex approximation (SCA) approach is applied to turn this original nonconvex problem into separate power allocation, IRS phase shift, and active transmit beamforming optimization subproblems. Simulation results demonstrate that the proposed algorithm converges fast, and the proposed design can enhance the total system sum rate through enhancing the rate within cell-edge zones regardless of the vehicle speeds.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
