Terminal Selection Method Considering Energy Burden in Energy Borrowing Transmission Scheme on D2D Communication

<p>In this study, we propose “Energy borrowing transmission scheme” in 5G and Beyond5G, and investigate the optimal terminal selection method considering the power burden of the terminal. In the mobile communication field, new user experiences and services have become possible in recent years due to the improvement of mobile terminal functions and the development of communication technology. On the other hand, from the user's point of view, there is still a high level of dissatisfaction with battery life. To address this issue, this study focuses on device-to-device (D2D) communication, which is low power consumption and highly power efficient, and aims to extend the battery life of mobile terminals by effectively using D2D communication between mobile terminals. To extend battery life, this scheme does not communicate directly with the base station, but uses D2D communication to request neighboring terminals to communicate with the base station on its behalf. Since this can be said to be a virtual use of the battery resources of a neighboring terminal, we call the proposed scheme a energy borrowing transmission scheme. In this study, we examined optimal terminal selection methods for borrowing power from other terminals, and developed a selection method that aims to reduce the power burden by setting an upper limit for lending power to the lender while minimizing battery depletion and extending the operating time of the borrowing terminal. In addition, to confirm the effectiveness of this method, we conducted experiments by dividing the power consumption during communication into three categories: those who borrow power, those who lend power, and those who communicate with base stations (normal use), and analyzed the measured results in terms of power consumption and battery depletion. In addition, we also analyzed the power consumption and battery consumption of the lender and borrower when using the proposed method. Furthermore, through simulation evaluation, we will verify the impact of the upper limit of power lending on the borrower's battery life and the fairness of the scheme.</p>