NOMA-Based WPT-MEC Network System Cost Efficient Units Minimization
Wenwu Zhu, Xin Chen, Libo Jiao, Geyong Min, Yijie Wang · 2022
With the progress of the Internet of Things (loT) and 5G communication technology, the rapid development of the loT not only brings convenience to people's lives, but also brings problems such as insufficient computing power and environmen-tal pollution. On the one hand, Mobile Edge Computing (MEC) can coordinate the computing power of local and MEC servers, reduce computing latency and power consumption, and provide faster response for users. On the other hand, wireless power transmission (WPT) technology can effectively solve the pollution problem caused by traditional energy supply. On this basis, it is of great practical significance to study the architecture of the loT that combines MEC with WPT. In order to minimize the unit cost (UC) of WPT-MEC system, this paper proposes a computing offload a nd resource scheduling problem involving multiple users and a single server. We first describe t he problem a s a Mixed Integer Nonlinear Programming Problem(MINLP). Then, we propose an improved algorithm TRSA based on simulated annealing (SA) algorithm to obtain the optimal computing offload and resource allocation strategy to minimize the U C of the system. A large number of simulation results show that TRSA algorithm can significantly reduce the UC of WPT-MEC system in different scenarios compared with other baseline methods.