Radio Resource Management in Device-to-Device and Vehicle-to-Vehicle Communication in 5G Networks and Beyond

Future cellular networks need to support the ever-increasing demand of bandwidth-intensive applications and interconnections of people, devices, and vehicles. To cope with diverse application needs for the heterogeneous ecosystem, radio resource management (RRM) is one of the key research areas for the fifth-generation (5G) networks. The key goals of this thesis are to develop novel, self-organizing, and low-complexity resource management algorithms for emerging device-to-device (D2D) and vehicle-to-vehicle (V2V) wireless systems while explicitly modeling and factoring network contextual information to satisfy the increasingly stringent requirements. Towards achieving these goals, this dissertation makes a number of key contributions including 4 IEEE conference papers and 2 IEEE journal articles, which all are published.