Intelligent Resource Allocation for D2D Communication in 5G Heterogeneous Networks

Abstract

The evolving Fifth Generation (5G) cellular wireless network deployment is the main key platform of the next wireless cellular network evolution. Device-to-device communication (D2D) is one of the key technologies provided to enhance 5G performance. D2D is a direct communication between two devices without involvement of any central point. The wide deployment of 5G network, supported with D2D, can afford promising solution for vehicular communication systems. Vehicular communication systems are networks in which vehicles and roadside units are the communicating nodes, which provide each other with certain information, such as speed, location, the direction of travel, braking, loss of stability, safety warnings and traffic information …. etc. This data can be effective in avoiding accidents and traffic congestion. Hence, the demanded kinds of networks shouldn't be considered as the traditional wireless ones. Vehicular networks need a high mobility and wide coverage networks with real time support to avoid crashes. Hence, 5G cellular network, supported with D2D technology, becomes a strong candidate to be the infrastructure for vehicular networks. This thesis provides an intensive benchmarking of the integration of D2D into 5G cellular network focusing on the potential advantages, recent prototypes, classifications, applications, and possible challenges. In addition, the thesis investigates resources allocation mechanisms for Vehicles-to-Infrastructure (V2I) and Vehicles-to-Vehicles (V2V), where V2I transmitters are considered as 5G Cellular Users (CUs) and V2V nodes are considered as D2D Users (DUs). Different QoS should be achieved to enhance the network performance such as maximizing V2Is ergodic capacity, V2Vs reliability, and network utilization.