Safe Massive MIMO system resource allocation method of intelligent reflecting surface

Abstract

The invention provides a secure Massive MIMO system resource allocation method based on an intelligent reflecting surface. The method comprises the following steps: establishing a secure Massive MIMO system model based on the intelligent reflecting surface; initializing a quantum long-horned cattle herd; determining the quantum position and fitness of the left beard and the right beard of each quantum long-horned beetle in the quantum long-horned beetle herd; updating the quantum speed, speed and quantum position of each quantum long-horned beetle in the quantum long-horned beetle herd; updating the local optimal quantum position of each quantum long-horned beetle and the global optimal quantum position of the whole quantum long-horned beetle herd, and updating the step length, the inertia weight and the distance between the left and right beetles; judging whether the maximum number of iterations is reached or not, and outputting the optimal resource allocation method; according to the invention, a quantum cattle herd search mechanism is designed, the system capacity is maximized while the eavesdropping capacity is limited by applying an intelligent reflecting surface, and the safety performance and the resource utilization rate of the Massive MIMO system are improved.

Description

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AI Technical Summary

Benefits of technology

The present invention relates to an improved way to manage large-scale wireless networks efficiently by optimally assigning their transmit powers based on factors like distance between devices or signal strength levels. This helps reduce energy consumption while maintaining high data rates without compromising security measures such as encryption protocols used over these connections.

Problems solved by technology

This patented technical describes how Intelligence Reflection Sheets (ISF) were developed during researches about massively multi-input/multiplexed (MIMO)-based mobile devices such as cell phones or wearable radios. These improvements aim to enhance their network capabilities while reducing its own weight and cost compared to traditional methods like wired connections. However, these techniques also lead to increased complexity due to interference from other users who may happen simultaneously within certain range(s). Therefore, it becomes necessary to develop efficient algorithms to allocate resources efficiently without compromising any desired properties of the device being used.

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