Radio Resource Management for V2V Multihop Communication Considering Adjacent Channel Interference

TL;DR

This paper presents an optimization framework for joint scheduling and power control in V2V multihop communication, considering interference, latency, and fairness, with solutions scalable to large networks.

Contribution

It introduces a comprehensive mixed-integer linear programming approach for optimizing V2V communication metrics considering interference and fairness.

Findings

Optimal solutions for throughput, latency, and AoI achieved.

Proposed clustering and distributed scheduling algorithms scale well.

Incorporates link failure probabilities into the optimization.

Abstract

This paper investigate joint scheduling and power control for V2V multicast allowing multihop communication. The effects of both co-channel interference and adjacent channel interference are considered. First, we solve the problem with the objective of maximizing the throughput and connectivity of vehicles in the network. Then extend the same problem formulation to include the objective of minimizing the latency and the average age of information (AoI), which is the age of the latest received message. In order to account for fairness, we also show the problem formulation to maximize the worst-case throughput and connectivity. All the problems are formulated as mixed Boolean linear programming problems, which allows computation of optimal solutions. Furthermore, we consider the error probability of a link failure in all the problem formulations and accommodate the probability requirements for satisfying a certain throughput/connectivity/latency/AoI. In order to support a large V2V network, a clustering algorithm is proposed whose computational complexity scale well with the network size. To handle the case of zero channel information at the scheduler, a multihop distributed scheduling scheme is proposed.