Phase shift design method of intelligent reflecting surface based on statistical CSI (Channel State Information)

Abstract

The invention discloses a phase shift design method of an intelligent reflecting surface based on statistical CSI (Channel State Information), which comprises the following steps of: firstly, acquiring parameter configuration of a receiving and transmitting end and the intelligent reflecting surface (RIS) and statistical knowledge of the CSI; secondly, optimizing the phase offset of the RIS by using statistical CSI to minimize the outage probability; simplifying the optimization problem by using an asymptotic expression of the outage probability; and finally, iteratively solving the optimal phase deviation value by using a numerical optimization method such as a genetic algorithm. According to the invention, the statistical knowledge of the CSI is utilized to carry out the optimization design of the RIS phase offset, so that the overhead of a communication system caused by frequent channel estimation, signaling interaction and the like is avoided; in addition, the optimal design method realized based on the progressive outage probability has extremely low complexity.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a phase shift design method of an intelligent reflective surface based on statistical CSI. Background technique [0002] Smart reflective surfaces (RIS) have attracted extensive attention from academia and industry due to their ability to reconstruct the propagation environment and improve signal reception quality. The reconfigurable features of RIS originate from the fact that the artificial plane is composed of many low-cost passive electromagnetic metamaterials, which can be tuned and programmed by an integrated microcontroller. Each reconfigurable reflector can independently adjust the amplitude or phase shift of the incident electromagnetic wave according to the dynamic fading environment. Flexibly and intelligently positively or negatively reflect the signal at the receiver, thus achieving the enhancement of the received signal and the weakening of the inter...

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Problems solved by technology

[0003] At present, most findings assume that the RIS controller has perfect CSI. In fact, obtaining perfect CSI on RIS depends on frequent channel estimation, signaling interaction and high energy consumption, which poses a huge challenge to the optimal design of passive RIS.

Furthermore, channel estimation errors are somewhat unavoidable due to quantization errors and unpredictable noise

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