Intelligent reflecting surface communication system resource optimization method based on OPGW connector box

Abstract

The invention discloses an intelligent reflecting surface communication system resource optimization method based on an OPGW connector box, and the method comprises the following steps: building an unmanned plane energy-carrying communication system minimum throughput model based on a B5G intelligent reflector, and proposing an optimization problem; wherein due to the fact that coupling exists between a wave beam vector {wi} emitted by the unmanned aerial vehicle, a phase shift matrix theta and the plane position qUAV of the unmanned aerial vehicle, and interference exists in a throughput expression, the optimization problem is non-convex and is difficult to solve directly. Therefore, a joint resource allocation algorithm based on alternate iteration is provided, so that a suboptimal solution of an optimization problem is solved and sought. According to the method, the advantages of an unmanned aerial vehicle energy-carrying communication technology based on a B5G intelligent reflecting surface and an alternating iteration algorithm are combined, and the minimum throughput of the system is maximized by reasonably setting a wave beam vector and a phase shift matrix transmitted by the unmanned aerial vehicle and the plane position of the unmanned aerial vehicle.

Description

technical field [0001] The invention relates to the technical field of wireless communication resource optimization, in particular to a resource optimization method for an intelligent reflective surface communication system based on an OPGW splice box. Background technique [0002] With the commercialization of fifth-generation mobile communication (5G) technology and beyond fifth-generation mobile communication (B5G) technology, Internet of Things (IoT) scenarios such as smart homes, driverless cars, and smart cities continue to mature, and a large number of Wireless terminal devices such as mobile phones and wireless sensors are connected to the network, and the data transmission volume also shows continuous exponential growth. The wireless terminal equipment is small and portable, followed by the problem of small battery capacity and insufficient battery life. The battery needs to be replaced or charged regularly to prolong the life of the wireless communication network. ...

AI Technical Summary

Problems solved by technology

However, in the traditional wireless energy carrying communication network, the position of the hybrid access point is fixed, and the wireless access devices in different positions have near-far effects, and the performance fairness between devices is difficult to guarantee.

In scenarios such as natural disasters, emergency maintenance, and dynamic changes in user locations, traditional fixed base stations cannot be quickly deployed and establish a reliable wireless communication network.

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