The deployment of reconfigurable intelligent surfaces(RISs)can enhance the coverage ability of millimeter wave(mmWave)communication systems.However,the typical strong line-of-sight(LoS)far-field propagation between a ...The deployment of reconfigurable intelligent surfaces(RISs)can enhance the coverage ability of millimeter wave(mmWave)communication systems.However,the typical strong line-of-sight(LoS)far-field propagation between a base station(BS)and an RIS reduces channel rank,thus affecting multiuser spatial multiplexing.To address this issue,we propose an RIS subarray-assisted mmWave mul-tiuser transmission scheme.To increase channel rank,RIS is divided into multiple subarrays with adjustable spacing,and the channel is modeled using a hybrid spherical-and planar-wave model.To minimize interuser interference,the RIS subarrays are deployed in the discrete Fourier transform(DFT)direction of the BS antenna array.To maximize signal efficiency,the BS precoder,the RIS reflection coefficients,and the user’s combiner are jointly designed.Numerical simulations were conducted to verify the effectiveness of the proposed RIS subarray deployment strategy and the performance of the wireless transmission scheme.In a four-user equipment(UE)communication scenario in the mmWave band,the effective rank of the BS-RIS channel approaches full rank,and the spectral efficiency of each UE is improved by at least 3 bit/(s·Hz).展开更多
Reconfigurable intelligent surface(RIS)has proven to be promising for future wireless communication.Due to its ability to manipulate electromagnetic(EM)waves,RIS provides a flexible and programmable way to implement i...Reconfigurable intelligent surface(RIS)has proven to be promising for future wireless communication.Due to its ability to manipulate electromagnetic(EM)waves,RIS provides a flexible and programmable way to implement intelligent wireless environments.While path loss modeling has been conducted in some prior research,an issue remaining unknown is the characteristics of multi-beam path loss for RIS.In this paper,we model,simulate and measure the multi-beam path loss in RIS-assisted broadcast communication scenarios.We propose two specific configurations of RIS and derive the path loss models,which reveal that the incident beam can be equally divided into multiple beams without power loss through rational design of the phase coding.The proposed path loss model is validated through simulation subsequently.To further verify our conclusions,we build a millimeter wave(mmWave)measurement system with a 35 GHz fabricated RIS.The measurement result corresponds well with the simulation,which shows a difference of about 3 dB in the received signal power of quad-beam compared with dual-beam,as well as dual-beam compared with single-beam,except for the impact of radiation patterns of the antennas and RIS elements.展开更多
Channel state information(CSI)is essen-tial to unlock the potential of reconfigurable intelli-gent surfaces(RISs)in wireless communication sys-tems.Since massive RIS elements are typically imple-mented without baseban...Channel state information(CSI)is essen-tial to unlock the potential of reconfigurable intelli-gent surfaces(RISs)in wireless communication sys-tems.Since massive RIS elements are typically imple-mented without baseband signal processing capabili-ties,limited CSI feedback is necessary when design-ing the reflection/refraction coefficients of the RIS.In this article,the unique RIS-assisted channel features,such as the RIS position-dependent channel fluctua-tion,the ultra-high dimensional sub-channel matrix,and the structured sparsity,are distilled from recent advances in limited feedback and used as guidelines for designing feedback schemes.We begin by il-lustrating the use cases and the corresponding chal-lenges associated with RIS feedback.We then discuss how to leverage techniques such as channel customiza-tion,structured-sparsity,autoencoders,and others to reduce feedback overhead and complexity when de-vising feedback schemes.Finally,we identify poten-tial research directions by considering the unresolved challenges,the new RIS architecture,and the integra-tion with multi-modal information and artificial intel-ligence.展开更多
基金The National Natural Science Foundation of China(No.62261160576,62401137)the China Postdoctoral Science Foundation(No.BX20230065,2024M750421)+2 种基金the Natural Science Foundation of Jiangsu Province(No.BK20241281),the Jiangsu Excellent Postdoctoral Program(No.2023ZB476)the Fundamental Research Funds for the Central Universities(No.2242023K5003)the Youth Science&Technology Talents Lifting Project by JSAST(No.TJ-2022-083).
文摘The deployment of reconfigurable intelligent surfaces(RISs)can enhance the coverage ability of millimeter wave(mmWave)communication systems.However,the typical strong line-of-sight(LoS)far-field propagation between a base station(BS)and an RIS reduces channel rank,thus affecting multiuser spatial multiplexing.To address this issue,we propose an RIS subarray-assisted mmWave mul-tiuser transmission scheme.To increase channel rank,RIS is divided into multiple subarrays with adjustable spacing,and the channel is modeled using a hybrid spherical-and planar-wave model.To minimize interuser interference,the RIS subarrays are deployed in the discrete Fourier transform(DFT)direction of the BS antenna array.To maximize signal efficiency,the BS precoder,the RIS reflection coefficients,and the user’s combiner are jointly designed.Numerical simulations were conducted to verify the effectiveness of the proposed RIS subarray deployment strategy and the performance of the wireless transmission scheme.In a four-user equipment(UE)communication scenario in the mmWave band,the effective rank of the BS-RIS channel approaches full rank,and the spectral efficiency of each UE is improved by at least 3 bit/(s·Hz).
基金supported in part by the National Key Research and Development Program of China under Grants 2023YFB3811505in part by the National Natural Science Foundation of China(NSFC)under Grants 62261160576,62201138,62301156,and 62401137+4 种基金in part by the Key Technologies R&D Program of Jiangsu(Prospective and Key Technologies for Industry)under Grants BE2023022-1 and BE2023022in part by the Natural Science Foundation of Jiangsu Province under Grant BK20220809 and BK20241281in part by the Fundamental Research Funds for the Central Universities under Grant 2242023K5003in part by the China National Postdoctoral Program for Innovative Talents under Grant BX20230065in part by the Jiangsu Excellent Postdoctoral Program under Grant 2023ZB476.
文摘Reconfigurable intelligent surface(RIS)has proven to be promising for future wireless communication.Due to its ability to manipulate electromagnetic(EM)waves,RIS provides a flexible and programmable way to implement intelligent wireless environments.While path loss modeling has been conducted in some prior research,an issue remaining unknown is the characteristics of multi-beam path loss for RIS.In this paper,we model,simulate and measure the multi-beam path loss in RIS-assisted broadcast communication scenarios.We propose two specific configurations of RIS and derive the path loss models,which reveal that the incident beam can be equally divided into multiple beams without power loss through rational design of the phase coding.The proposed path loss model is validated through simulation subsequently.To further verify our conclusions,we build a millimeter wave(mmWave)measurement system with a 35 GHz fabricated RIS.The measurement result corresponds well with the simulation,which shows a difference of about 3 dB in the received signal power of quad-beam compared with dual-beam,as well as dual-beam compared with single-beam,except for the impact of radiation patterns of the antennas and RIS elements.
基金supported in part by the Key Technologies Research and Development Program of Jiangsu(Prospective and Key Technologies for Industry)under Grant BE2023022 and BE2023022-1in part by National Natural Science Foundation of China(NSFC)under Grant 62401137,62401640,and 62231009+3 种基金in part by the Natural Science Foundation of Jiangsu Province under Grant BK20241281in part by the China National Postdoctoral Program for Innovative Talents under Grant BX20230065 and 2024M750421in part by the Jiangsu Excellent Postdoctoral Program under Grant 2023ZB476in part by the Guangdong Basic and Applied Basic Research Foundation under Grant 2023A1515110732.
文摘Channel state information(CSI)is essen-tial to unlock the potential of reconfigurable intelli-gent surfaces(RISs)in wireless communication sys-tems.Since massive RIS elements are typically imple-mented without baseband signal processing capabili-ties,limited CSI feedback is necessary when design-ing the reflection/refraction coefficients of the RIS.In this article,the unique RIS-assisted channel features,such as the RIS position-dependent channel fluctua-tion,the ultra-high dimensional sub-channel matrix,and the structured sparsity,are distilled from recent advances in limited feedback and used as guidelines for designing feedback schemes.We begin by il-lustrating the use cases and the corresponding chal-lenges associated with RIS feedback.We then discuss how to leverage techniques such as channel customiza-tion,structured-sparsity,autoencoders,and others to reduce feedback overhead and complexity when de-vising feedback schemes.Finally,we identify poten-tial research directions by considering the unresolved challenges,the new RIS architecture,and the integra-tion with multi-modal information and artificial intel-ligence.
