Joint network selection and resource allocation method for secure transmission wireless energy carrying network

Abstract

The invention claims a wireless energy-carrying network joint network selection and resource distribution method based on secure transmission, and belongs to the technical field of mobile communication. The method comprises the following steps: step1, acquiring network and users intrinsic parameter information; step2, defining a network selection mark [beta]m, n; step3, calculating legal users acquisition power as shown in the description; step4, calculating a legal users average secrecy rate as shown in the description and a legal users transmission rate as shown in the description; step5, calculating an eavesdropping users average receiving rate in network n as shown in the description; step6, calculating single link average energy efficiency E([eta]m,n) and network average total energy efficiency E([eta]); step7, setting a constraint condition to restrict network selection, a legal users rate, AP transmitting power, acquisition power and a power split ratio; and step8, determining the network selection, energy acquisition and AP transmitting power distribution strategy by joint optimization according to network total energy efficiency maximization rule. According to the invention, the method can effectively guarantee to realize network energy efficiency optimization under the limit of constraint conditions including the network selection, the legal users rate, the AP transmitting power, the acquisition power and the power split ratio.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to the technical field of resource allocation of a wireless energy carrying network, and discloses a method for selecting a joint network of a wireless energy carrying network and resource allocation based on secure transmission. Background technique [0002] With the rapid development of wireless communication technology, the problem of energy consumption is becoming increasingly serious. In order to solve the problem of low energy utilization rate caused by the current traditional energy usage, efficient energy harvesting technology can be adopted. As a new type of energy harvesting technology, wireless energy-carrying communication integrates communication technology and power transmission technology to realize parallel transmission of information and energy, and realize energy harvesting while transmitting information, which has broad application prospects. At th...

AI Technical Summary

Problems solved by technology

[0005] In the existing research on resource allocation schemes based on eavesdropping user network scenarios, the user's network selection problem and the resource allocation problem under the random distribution of eavesdropping user locations are rarely considered.

In addition, most of the existing research on resource allocation focuses on throughput optimization without considering the energy consumption of user equipment, which may lead to low energy efficiency. For energy-sensitive terminal equipment, its service experience will be seriously affected

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