An Effective Capacity Empowered Resource Allocation Approach in Low-Latency C-V2X

Ultra-reliable and low-latency communication services are very crucial in the fifth generation (5G) cellular system. In this paper, we investigate the resource allocation problem in low-latency cellular vehicle-to-everything (C-V2X) network based on effective capacity theory, and consider statistical delay constraints of both single-hop and full-duplex two-hop relay-assisted vehicle-to-vehicle (V2V) communications. We formulate a resource allocation problem to maximize the sum ergodic capacity of vehicle-to-infrastructure (V2I) users while guaranteeing the delay constraints of V2V users. Since the problem is a mixed integer nonlinear programming problem, we split it into a power control problem solved by closed-form solution and a spectrum reusing problem solved by Hungarian algorithm, respectively. Simulation results show that the proposed algorithms can effectively improve the overall network performance and ensure high reliability and low latency in V2V communications.