Radio frequency signal direct processing type wireless transceiver based on metasurface neural network

Abstract

The invention discloses a radio frequency signal direct processing type wireless transceiver based on a metasurface neural network, the wireless transceiver is composed of the metasurface neural network, a metasurface technology and a neural network structure are fused, and direct processing and transceiving of radio frequency signals are realized. The metasurface neural network is composed of aninput layer, a plurality of hidden layers and an output layer, and information transmission media between the layers are radio frequency signals. Each layer is composed of a transmission type programmable metasurface of a two-dimensional plane structure, each unit structure on the programmable metasurface is a metasurface neuron, the weight of each unit structure is a programmable transmission coefficient, and the metasurface neurons between the adjacent layers are interconnected in an electromagnetic wave propagation mode. For specific transceiving tasks, weight parameters of all the super-surface neurons can be trained through a neural network algorithm and configured through external signals. According to the invention, radio frequency signals can be directly processed and transmitted and received, the processing speed is light speed, and the system has the advantages of high flexibility, low power consumption and the like.

Description

technical field [0001] The invention relates to a device for radio frequency signal processing and sending and receiving, in particular to a radio frequency signal direct processing wireless transceiver based on a metasurface neural network. Background technique [0002] In recent years, the development of wireless technology is changing with each passing day. With the gradual deployment of 5G wireless communication, the new generation of wireless communication technology is also constantly developing. In the research of 6G technology, many emerging technologies, such as terahertz communication, super large-scale input and output communication and artificial intelligence, have attracted extensive attention because of their potential to further increase transmission rate and network capacity. [0003] The information processing module (baseband module) and the radio frequency transceiver module of the widely used traditional wireless transceiver architecture are separated. Fo...

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Problems solved by technology

[0005] Aiming at the problems of high baseband real-time processing pressure and high power consumption faced by existing traditional wireless transceivers when they are applied to ultra-large-scale channel numbers and ultra-high-bandwidth wireless communications, the present invention provides an information processing speed of light speed and low power consumption Radio Frequency Signal Direct Processing Wireless Transceiver Based on Metasurface Neural Network

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