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This paper investigates how to mitigate the impact of adjacent channelinterference (ACI) in vehicular broadcast communication, using scheduling andpower control. Our objective is to maximize the number of connected vehicles.First, we formulate the joint scheduling and power control problem as a mixedBoolean linear programming (MBLP) problem. From this problem formulation, wederive scheduling alone problem as Boolean linear programming (BLP) problem,and power control alone problem as an MBLP problem. Due to the hardness insolving joint scheduling and power control for multiple timeslots, we propose acolumn generation method to reduce the computational complexity. We alsoobserve that the problem is highly numerically sensitive due to the highdynamic range of channel parameters and adjacent channel interference ratio(ACIR) values. Therefore, we propose a novel sensitivity reduction technique,which can compute the optimal solution. Finally, we compare the results foroptimal scheduling, near-optimal joint scheduling and power control schemes,and conclude that the effective scheduling and power control schemes indeedsignificantly improve the performance.

Joint Scheduling and Power Control for V2V Broadcast Communication with Adjacent Channel Interference