A Novel Circuit-based MIMO Channel Model Considering Antenna Size and Mutual Coupling

Gao, Jiajun; Wang, Cheng-Xiang; Huang, Jie; Yang, Yue

doi:10.1109/wcsp52459.2021.9613338

Cited by 10 publications

(6 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An end-to-end MC-aware communication model based on mutual impedances has been propounded in [39], which is also EM-compliant and unit cell aware. In [40], a circuitbased MIMO channel model considering antenna MC, size-related antenna equivalent circuit, and channel small-scale fading has been proposed, and statistical properties including temporal autocorrelation function and spatial cross-correlation function, along with the effects of MC and size-related antenna equivalent circuit on them have been revealed. The authors in [41] have derived a beamforming vector of superdirective arrays based on a coupling matrix-enabled method, and proposed an approach to obtain the coupling matrix via spherical wave expansion.…”

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

“…An end-toend MC-aware communication model based on mutual impedances has been propounded in [39], which is also EM-compliant and unit cell aware. In [40], a circuit-based MIMO channel model considering antenna MC, size-related antenna equivalent circuit, and channel small-scale fading has been proposed, and statistical properties including temporal autocorrelation function and spatial cross-correlation function, along with the effects of MC and size-related antenna equivalent circuit on them have been revealed. The authors in [41] have derived a beamforming vector of superdirective arrays based on a coupling matrix-enabled method, and proposed an approach to obtain the coupling matrix via spherical wave expansion.…”

Section: Related Workmentioning

confidence: 99%

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

Sun¹,

Tao²

2023

Preprint

View full text Add to dashboard Cite

<p>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.</p>

show abstract

“…It is also vital for further performance analysis. The new proposed circuit-based channel model considering antenna size and mutual coupling can be a promising method for RIS-assisted channel modeling [133].…”

Section: B a Pervasive Ris-assisted Channel Modelmentioning

confidence: 99%

“…The radio channel takes into account the effects of Tx and Rx antennas. A novel circuit-based radio channel model was proposed in [133], which can be applied to RIS-assisted radio channel modeling. Due to its unique characteristics, RIS can be a bridge between electromagnetic theory and information theory, building the foundation of electromagnetic information theory.…”

Section: Ris and Electromagnetic Information Theorymentioning

confidence: 99%

Reconfigurable Intelligent Surfaces: Channel Characterization and Modeling

et al. 2022

Self Cite

View full text Add to dashboard Cite

Reconfigurable intelligent surfaces (RISs) are two dimensional (2D) metasurfaces which can intelligently manipulate electromagnetic waves by low-cost near passive reflecting elements. RIS is viewed as a potential key technology for the sixth generation (6G) wireless communication systems mainly due to its advantages in tuning wireless signals, thus smartly controlling propagation environments. In this paper, we aim at addressing channel characterization and modeling issues of RISassisted wireless communication systems. At first, the concept, principle, and potential applications of RIS are given. An overview of RIS based channel measurements and experiments is presented by classifying frequency bands, scenarios, system configurations, RIS constructions, experiment purposes, and channel observations. Then, RIS based channel characteristics are studied, including reflection and transmission, Doppler effect and multipath fading mitigation, channel reciprocity, channel hardening, rank improvement, far field and near field, etc. RIS based channel modeling works are investigated, including largescale path loss models and small-scale multipath fading models. At last, future research directions related to RIS-assisted channels are also discussed.Index Terms-6G wireless communications, reconfigurable intelligent surface (RIS), channel measurements, channel characteristics, channel modeling.

show abstract

A Novel Circuit-based MIMO Channel Model Considering Antenna Size and Mutual Coupling

Cited by 10 publications

References 15 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

Reconfigurable Intelligent Surfaces: Channel Characterization and Modeling

Contact Info

Product

Resources

About