Closed Form Characterization of Mutual Coupling in Uniform Linear Arrays

Wolosinski, Grzegorz; Tataria, Harsh; Fusco, Vincent

doi:10.23919/eucap48036.2020.9135960

Cited by 2 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Theoretically, the type of matrix used to represent the array network is not important since matrix transforms can be applied to change the type of matrix representation. There is abundant early research work on MC in antenna arrays (e.g., [28]- [36] and references therein), which considered linear arrays only or did not fix the array aperture while varying the element spacing. Aiming at exploring the physical characteristics of the emerging holographic RISs or similar structures for 6G communications, the authors in [37] have proposed an LoS communication model incorporating MC in the form of mutual impedance, and studied the associated optimal beamforming strategies.…”

Section: A Related Workmentioning

confidence: 99%

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

Sun,

Tao

2023

Preprint

View full text Add to dashboard Cite

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 quasicontinuous aperture (i.e., holographic RISs). Specifically, asymptotic behaviors of far-field and nearfield 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.

show abstract

Section: A Related Workmentioning

confidence: 99%

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

Sun,

Tao

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Theoretically, the type of matrix used to represent the array network is not important since matrix transforms can be applied to change the type of matrix representation. There is abundant early research work on MC in antenna arrays (e.g., [ 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ] and references therein), which considered linear arrays only or did not fix the array aperture while varying the element spacing. Aiming at exploring the physical characteristics of the emerging holographic RISs or similar structures for 6G communications, the authors in [ 37 ] have proposed an LoS communication model incorporating MC in the form of mutual impedance, and studied the associated optimal beamforming strategies.…”

Section: Introductionmentioning

confidence: 99%

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

Sun

Tao

2022

Sensors

View full text Add to dashboard Cite

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.

show abstract

Closed Form Characterization of Mutual Coupling in Uniform Linear Arrays

Cited by 2 publications

References 13 publications

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

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

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

Contact Info

Product

Resources

About