  This paper investigates how to mitigate the impact of both co-channel
interference and adjacent channel interference (ACI) on vehicle-to-vehicle
(V2V) broadcast communication by scheduling and power control. The optimal
joint scheduling and power control problem, with the objective to maximize the
number of connected vehicles, 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. Optimal schedules and power values can, for smaller-size instances of
the problem, be computed by solving first (a) and then (b). To handle
larger-size instances of the problem, we propose heuristic scheduling and power
control algorithms with reduced computational complexity. 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.
