Cellular networks are struggling in recent years to support high data rates and system capability, as well as the growth of smartphone devices and mobile apps that use data. Future growth has made managing traffic for cell operators one of their biggest difficulties. Mobile data discharge is a low-cost way to lighten the burden on cell phone networks. In this thesis, a method to speed up cell traffic with the device using device communication is presented. The system model structure in question is known as the WPDO Network, and it has been described in this thesis along with how it integrates with power transmission technology. To determine the potential for cellular and D2D users, the structure employs the average power transfer of D2D transmitters and the lowest expected power of base stations. These connections choose the most effective time allocation agent to decide the WPDO network's optimum energy efficiency. We will assess the energy efficiency of the WPDO network by looking at resources with non-geometric forms in two-dimensional space, and by creating an algorithm to maximise WPDO network energy efficiency, we will gain knowledge about network architecture at the system level. Data traffic in cellular networks is greatly decreased as the discharge radius grows due to increased network efficiency, which also impacts the radius of the data evacuation regions. Finally, numerical findings are evaluated and simulated using MATLAB software.
