Scheduling and Power Control for V2V Broadcast Communications with Co-Channel and Adjacent Channel Interference
Journal article, 2019
This paper investigates how to mitigate the impact of both the co-channel interference and the adjacent channel interference (ACI) in the vehicle-to-vehicle (V2V) broadcast communication by scheduling and power control. Our objective is to maximize the number of connected vehicles. The optimal joint scheduling and power control problem is formulated as a mixed integer programming problem with a linear objective and a quadratic constraint. From the joint formulation, we derive (a) the optimal scheduling problem for fixed transmit powers as a Boolean linear programming problem and (b) the optimal power control problem for a fixed schedule as a mixed integer linear programming problem. The near-optimal schedules and power values are computed by solving first (a) and then (b) for smaller-size instances of the problem. To handle larger-size instances of the problem, we propose heuristic scheduling and power control algorithms with less computational complexity. The simulation results indicate that the heuristic scheduling algorithm yields significant performance improvements compared to the baseline block-interleaver scheduler and that performance is further improved by the heuristic power control algorithm. Moreover, the heuristic algorithms perform close to the optimal scheme for small instances of the problem.