Uplink reflection coefficient adjusting method of intelligent metasurface RIS applied to Internet of Things

Abstract

The invention discloses an uplink reflection coefficient adjusting method for an intelligent metasurface RIS applied to the Internet of Things, and belongs to the technical field of communication, and the method comprises the steps: adding an intelligent metasurface in a wireless access system of fixed Internet of Things terminal equipment, dividing an array element of the intelligent metasurface into a plurality of sub-array elements, according to the principle that each sub-array element is matched with one user, a coefficient matrix and dimensions of the sub-array elements are obtained; phase deviation is adjusted in the coefficient matrix of the sub-array elements, so that the reflection coefficient of the intelligent metasurface is adjusted; on the base station side, an original channel link between the base station and the intelligent metasurface is decomposed through a block dimension reduction method, a communication signal of a user is received through a channel subjected to dimension reduction processing, the communication signal is filtered, automatic programmable parameter adjustment configuration control over the RIS is achieved, and the technical problem of the capacity of regulating and controlling a wireless channel is solved; the method does not need a complex iteration process, and reduces the calculation complexity.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to an uplink reflection coefficient adjustment method of an intelligent metasurface RIS applied to the Internet of Things. Background technique [0002] In the Internet of Things industry, various data transmission terminals ultimately need to collect data, upload and issue control commands through communication links. The large concurrent application scenario defined by 5G aims to solve the access problem of a large number of end users. However, with the migration of available frequency bands to millimeter wave or even higher frequency bands in the future, the directivity of signals will become stronger and stronger. The coverage of the network under narrow beams is a prominent problem, that is, the blind area of ​​the signal is very large. Therefore, as far as the wireless data transmission terminal relying on the existing mobile network access is concerned, it ...

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Problems solved by technology

[0003] Using traditional wireless network optimization methods and other relay methods, there are disadvantages such as high investment cost, high power consumption, weak coverage, etc.

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