Abstract
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.
Highlights
CONTRIBUTIONS Our goal is to find scheduling and power control algorithms to maximize the number of connected vehicles in a V2V multicast communication scenario
A link is defined as a transmitter-receiver pair (i, j), and we say that the link (i, j) is successful if at least one transmission from VUE i to VUE j is successful during the scheduling interval, i.e., that the signal to interference and noise ratio (SINR) condition (5) is satisfied for at least one resource block (RB) (f, t) where f ∈ {1, 2, . . . , F} and t ∈ {1, 2, . . . , T }
We show the result for optimal scheduling and power control upon solving MIQCP problem (21)
Summary
A. Hisham et al.: Scheduling and Power Control for V2V Broadcast Communications With CCI and ACI. ACI is typically not a problem in a cellular communication network, since interference is dominated by CCI due to the spectrum re-usage. C. CONTRIBUTIONS Our goal is to find scheduling and power control algorithms to maximize the number of connected vehicles in a V2V multicast communication scenario. The scheduling and power control is made by a centralized unit (e.g., a BS, roadside infrastructure node, or a special vehicle) based on slowly-varying channel state information (CSI), and communication between vehicles is direct (i.e, not via an uplink-downlink arrangement or via intermediate nodes). We assume that the average channel power gain (i.e., pathloss and large-scale fading) between the VUEs are known to the centralized controller. The pathloss and large-scale fading is measured by the individual VUEs and reported to the centralized controller
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