Characteristics of Channel Eigenvalues and Mutual Coupling Effects for Holographic Reconfigurable Intelligent Surfaces

01/08/2023
by   Shu Sun, et al.
0

As a prospective key technology for the next-generation wireless communications, reconfigurable intelligent surfaces (RISs) have gained tremendous research interest in both the academia and industry in recent years. Only limited knowledge, however, has been obtained about the channel eigenvalue characteristics and spatial degrees of freedom (DoF) of systems containing RISs, especially when mutual coupling (MC) is present between the array elements. In this paper, we focus on the small-scale spatial correlation and eigenvalue properties excluding and including MC effects, for RISs with a quasi-continuous aperture (i.e., holographic RISs). Specifically, asymptotic behaviors of far-field and near-field eigenvalues of the spatial correlation matrix of holographic RISs without MC are first investigated, where the counter-intuitive observation of a lower DoF with more elements is explained by leveraging the power spectrum of the spatial correlation function. Second, a novel metric is proposed to quantify the inter-element correlation or coupling strength in RISs and ordinary antenna arrays. Furthermore, in-depth analysis is performed regarding the MC effects on array gain, effective spatial correlation, and eigenvalue architectures for a variety of element intervals when a holographic RIS works in the radiation and reception mode, respectively. The analysis and numerical results demonstrate that a considerable amount of the eigenvalues of the spatial correlation matrix correspond to evanescent waves that are promising for near-field communication and sensing. More importantly, holographic RISs can potentially reach an array gain conspicuously larger than conventional arrays by exploiting MC, and MC has discrepant impacts on the effective spatial correlation and eigenvalue structures at the transmitter and receiver.

READ FULL TEXT

page 16

page 17

research
10/15/2021

Channel Eigenvalues and Effective Degrees of Freedom of Reconfigurable Intelligent Surfaces

As a promising candidate technology for the next-generation wireless com...
research
09/16/2023

Study of Enhanced MISC-Based Sparse Arrays with High uDOFs and Low Mutual Coupling

In this letter, inspired by the maximum inter-element spacing (IES) cons...
research
12/13/2019

A Communication Model for Large Intelligent Surfaces

The purpose of this paper is to introduce a communication model for Larg...
research
10/13/2021

A Primer on Near-Field Beamforming for Arrays and Reconfigurable Intelligent Surfaces

Wireless communication systems have almost exclusively operated in the f...
research
08/20/2022

Study of Novel Sparse Array Design Based on the Maximum Inter-Element Spacing Criterion

A novel sparse array (SA) structure is proposed based on the maximum int...
research
10/10/2018

Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments

Hybrid massive MIMO structures with reduced hardware complexity and powe...
research
12/03/2019

Communicating with Large Intelligent Surfaces: Fundamental Limits and Models

This paper analyzes the fundamental communication problem involving larg...

Please sign up or login with your details

Forgot password? Click here to reset