Radio Resource Management for Relay Aided Device to Device Communication
In this thesis, performance of relay assisted Device to device (D2D) communication is investigated where D2D traffic is carried through relay nodes. I develop resource management schemes to maximize end to end rate as well as conversing rate requirements for cellular and D2D UEs under total power constraint. I also develop a low complexity distributed solution using the concept of message passing. Considering the uncertainties in wireless links (e.g. when interference from other relay nodes and the link gains are not exactly known) I extend the formulation using robust resource allocation techniques. In addition, a distributed solution approach using stable matching is developed to allocate radio resources in an efficient and computationally inexpensive way under the bounded channel uncertainties. Numerical results show that, there is a distance threshold beyond which relay assisted D2D communication significantly improves network performance at the cost of small increase in end to end delay when compared to conventional approach.