A phase-shift design method of intelligent reflective surface based on statistical csi

Abstract

The invention discloses a phase shift design method of an intelligent reflective surface based on statistical CSI. The method includes the following steps: firstly, acquiring the statistical knowledge of the parameter configuration of the transceiver end and the intelligent reflective surface (RIS) and channel state information (CSI) ; Then use statistical CSI to optimize the phase offset of RIS to minimize the outage probability; then use the asymptotic expression of outage probability to simplify the optimization problem; finally, use numerical optimization methods such as genetic algorithm to iteratively solve the optimal phase offset value. The present invention utilizes the statistical knowledge of CSI to optimize the design of RIS phase offset, thereby avoiding communication system overhead caused by frequent channel estimation and signaling interaction; in addition, the optimal design method based on 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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