Method for optimizing energy-saving efficiency of wireless energy-carrying terminal in 5G edge computing environment

Abstract

The invention relates to a method for optimizing energy-saving efficiency of a wireless energy-carrying terminal in a 5G edge computing environment. The method comprises the following steps of: 1, carrying out joint modeling on a terminal energy-saving efficiency optimization problem and a wireless power supply device income problem by utilizing a Stackelberg game model; 2, solving an income problem of the wireless power supply device by utilizing an optimality condition, and substituting an obtained optimal value relation into a terminal energy-saving efficiency optimization problem for simplification; 3, aiming at the simplified terminal energy-saving efficiency optimization problem, respectively solving the sub-problems by adopting alternate iteration to obtain an optimization result; and 4, according to the optimization result, setting the terminal sending power, the connection relationship between the terminal and the small cellular base station, the terminal transmission duration and the excitation price of the wireless power supply device. The method mainly solves the problems of low energy-saving efficiency, high complexity and the like in the prior art, can effectively improve the energy-saving efficiency of the wireless energy-carrying terminal, and is suitable for a full-duplex 5G edge computing network.

Description

technical field [0001] The present invention relates to the technical field of wireless communication networks and edge computing, in particular to a method for optimizing the energy-saving efficiency of wireless energy-carrying terminals in a 5G edge computing environment. Background technique [0002] Mobile edge computing effectively reduces the transmission pressure and computing load of the core network by deploying computing power servers at the edge of the network. With the development of 5G technology, the demand for low-latency, high-reliability transmission computing services for various terminal applications has further increased. In response to this demand, on the one hand, 5G full-duplex transmission can greatly improve transmission efficiency and shorten transmission time. On the other hand, the deployment of mobile edge computing shortens the transmission distance. Therefore, the combination of mobile edge computing and 5G full-duplex transmission can effect...

AI Technical Summary

Problems solved by technology

[0005] In view of the deficiencies of the existing solutions, such as not involving wireless energy carrying technology, the optimization target does not consider the energy-saving efficiency of the terminal, and the lack of a comprehensive solution to the problems of wireless power supply device incentives and network resource optimization methods, the present invention proposes a wireless solution in a 5G edge computing environment. Energy-saving efficiency optimization method for energy-carrying terminals. This method uses the Stackelberg game model to jointly model the terminal energy-saving efficiency optimization problem and the wireless power supply device revenue problem. Then, through optimality conditions, problem transformation and alternate iterations, the The efficient solution to the model can effectively improve the terminal energy saving efficiency

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