Resource allocation for device to device communication in future mobile network (5G and beyond)

The number of mobile users has increased at an unprecedented rate over the past ten years, overwhelming the cellular network core. Numerous technologies are being researched to advance to the next generation of cellular networks, dubbed "the fifth generation" (5G) and 5G beyond, in order to keep up with this expansion of cellular networks. One of those technologies claims to increase throughput overall, minimize latency, enhance spectral and energy efficiency, and offload the network core. The Device-to-Device (D2D) communication technology has claimed all of those claims. Direct connection between devices (D2D communication) excludes the Base Station (BS). D2D communication technology has numerous obstacles in achieving its goals. Throughput is maximized and interference is reduced when resources are allocated and power is controlled effectively. Within the context of 5G cellular networks, we study the joint power and resource allocation problem for D2D communication in this thesis. In this theses, we primarily utilize wireless channel data that exhibits slowly shifting large-scale fading to conduct spectrum sharing and power allocation. The overall ergodic capacity of all cellular user equipment (CUE) links is initially considered as the optimization target in order to maximize the overall throughput of CUE links while ensuring the reliability of each D2D link. Then, the expansion of the minimum ergodic capacity is measured to ensure a more consistent capacity performance across all CUE links. We utilized algorithms that are resilient to channel fluctuations and produce optimal resource allocation