An Evaluation of Cooperative Communication in Cognitive Radio as Applied to Autonomous Vehicles

Autonomous vehicles are slowly being modified to be cognitive. A fully autonomous vehicle is a robotic vehicle that is designed to travel to destinations without human intervention. It uses vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I) and vehicle-to-everything (V2X) communications in order to improve driving safety and traffic efficiency, and to provide information and entertainment to the driver. Its communication protocols are capable of driving without any human actions. V2X communications are designing and running in cellular networks. Some of the most commonly used methods for increasing the spectral efficiency of cellular systems involve resource allocation schemes. Various channel allocation schemes have been introduced to provide quality of service (QoS). To get high QoS, we have to examine the QoS requirements for vehicle cooperative communication systems. This paper discusses, analyzes, and evaluates the performance of a cooperative communication strategy for cellular systems, for applications in autonomous vehicle networks. The aim is to reduce delays in message exchange between vehicles that are caused by heavy traffic loads, a high blocking rate, and lengthy processing times. The major goal of our work is to design a robust message protocol for exchanging information among vehicles.