Congestion Control investigation into 5G V2V

Abstract

Congestion control is a hot research topic according to the continuous increase of traffic density together with great mobility of cars. In this context, in this survey we present an overview about the different vehicle to vehicle (V2V) communication enablers by describing the difference between them performing better driving assistance together with efficient congestion control ensuring driving safety. New radio (NR) 5G is the heuristic enabler which provides scalability and reliability towards vehicular communication. Indeed, NR 5G is the best solution supporing the great increase of network density. 5G technology is expected to allow much advanced services and application with a huge capacity of data exchange. Congestion occurance impacts the quality of service of vehicular network, for this accurate quantification is required. In our analysis we consider channel busy rate CBR as indicator of network density. Channel load control is mondatory to overcome traffic jam which could be highlighted by different metrics. The connectivity between cars is modeled with a game theory framework considering a non cooperative vehicular mobility. Each vehicle adjusts its transmitted power in dynamic way taking into account the traffic density measured by channel busy rate (CBR). Consequently, we follow a theoretical modeling to determine the efficient allocated power ensuring awareness messages exchange without saturating the communication channel under the respect of a fixed threshold. Therefore, channel saturation control is investigated following a theoretical analysis exploiting game theory under the assumption of a non cooperative strategy. Each vehicle acts as a player presenting a specific driving behavior different to the other cars participating into the same scenario. The optimization framework is about determining the optimal allocated power for congestion minimization.