Interference Graph-Based Resource Management for Vehicular Communications

The maturity of the Internet of vehicles (IoV) ecosystem enabled driverless vision and vehicle communication technology is the key link to realize vehicular network. In this paper, the interference in IoV is divided by graph theory, further partite V2V users into different clusters. Then, the highway scenario is modeled, the closed expression of the best allocation power of vehicle unit is deduced. Based on this, the influence of vehicle speed, V2V interrupt threshold and other parameters on the vehicular communication is analyzed. Simulation results show that graph-based clustering is beneficial to reduce the interference between V2I/V2V and improve the total throughput of V2I link.

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