Multi-user security energy-saving resource allocation method in mobile edge computing network

Abstract

The invention provides a multi-user safe energy-saving resource allocation method in a mobile edge computing network, which comprises the following steps that: step 1, K users are accessed to a base station in a current time slot, and the base station obtains channel state information of the users through channel training; time division duplex, channel reciprocity and channel compliance with a quasi-static block fading model are set; step 2, energy consumed by local calculation of each user and energy consumed by task unloading of each user are calculated; 3, according to the energy consumed by the local calculation and the energy consumed by unloading the calculation task obtained in the step 2, an optimization problem is constructed, the optimization problem comprises an optimization target and constraint conditions, and the optimization target refers to minimizing the total energy consumption of the system; 4, the optimization problem is solved to obtain the minimum value of the total energy consumption of the system and each corresponding optimization variable when the minimum value is reached; according to the method, the energy consumption is remarkably reduced in the aspectof realizing MEC network security energy-saving task unloading.

Description

technical field [0001] The present invention relates to the problem of secure transmission at the physical layer of wireless communication, in particular to a multi-user security and energy-saving resource allocation method in a mobile edge computing network. Background technique [0002] The rapid development of wireless networks has spawned a series of computing-intensive and latency-sensitive smart devices (such as tablets and smartphones) and new applications (such as augmented reality, autonomous driving, and remote surgery). With the large-scale deployment of smart devices, how to accommodate them under limited resources is a challenging task. Therefore, providing ideal QoS for power-limited and size-constrained terminal devices is an urgent problem to be solved. Mobile Edge Computing (MEC) and Non-Orthogonal Multiple Access (NOMA) have emerged and are considered to be the two most promising technologies in next-generation wireless networks. [0003] In the MEC syste...

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