On the Trade-Off between Energy Efficiency and Spectral Efficiency in RIS-Aided Multi-User MISO Downlink

As reconfigurable intelligent surfaces (RISs) have been gradually brought to reality, a large amount of research has been conducted to investigate the immense benefits of RISs. That is because RISs enable us to artificially direct the radio wave propagating through the environment at a relatively lo...

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Bibliographic Details
Main Authors: Meng Zhang, Le Tan, Kelin Huang, Li You
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/10/11/1307
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spelling doaj-ccc2de49291a47f5b15505c3d6e7d7ae2021-06-01T01:38:59ZengMDPI AGElectronics2079-92922021-05-01101307130710.3390/electronics10111307On the Trade-Off between Energy Efficiency and Spectral Efficiency in RIS-Aided Multi-User MISO DownlinkMeng Zhang0Le Tan1Kelin Huang2Li You3School of Information Science and Engineering, Southeast University, Nanjing 211189, ChinaSchool of Information Science and Engineering, Southeast University, Nanjing 211189, ChinaSchool of Information Science and Engineering, Southeast University, Nanjing 211189, ChinaNational Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, ChinaAs reconfigurable intelligent surfaces (RISs) have been gradually brought to reality, a large amount of research has been conducted to investigate the immense benefits of RISs. That is because RISs enable us to artificially direct the radio wave propagating through the environment at a relatively low cost. This paper investigates the trade-off between spectral efficiency (SE) and energy efficiency (EE) in the RIS-aided multi-user multiple-input single-output downlink. We develop an optimization framework for designing the transmitting precoding at the base station and the phase shift values at the RIS to balance the EE-SE trade-off. The proposed iterative optimization framework for the design includes quadratic transform, alternating optimization, and weighted minimization mean-square error conversion. Simulation results illustrate our optimization framework algorithm exhibits effectiveness and a fast convergence rate.https://www.mdpi.com/2079-9292/10/11/1307energy efficiencyintelligent reflecting surface (IRS)multi-user downlinkreconfigurable intelligent surface (RIS)spectral efficiency
collection DOAJ
language English
format Article
sources DOAJ
author Meng Zhang
Le Tan
Kelin Huang
Li You
spellingShingle Meng Zhang
Le Tan
Kelin Huang
Li You
On the Trade-Off between Energy Efficiency and Spectral Efficiency in RIS-Aided Multi-User MISO Downlink
Electronics
energy efficiency
intelligent reflecting surface (IRS)
multi-user downlink
reconfigurable intelligent surface (RIS)
spectral efficiency
author_facet Meng Zhang
Le Tan
Kelin Huang
Li You
author_sort Meng Zhang
title On the Trade-Off between Energy Efficiency and Spectral Efficiency in RIS-Aided Multi-User MISO Downlink
title_short On the Trade-Off between Energy Efficiency and Spectral Efficiency in RIS-Aided Multi-User MISO Downlink
title_full On the Trade-Off between Energy Efficiency and Spectral Efficiency in RIS-Aided Multi-User MISO Downlink
title_fullStr On the Trade-Off between Energy Efficiency and Spectral Efficiency in RIS-Aided Multi-User MISO Downlink
title_full_unstemmed On the Trade-Off between Energy Efficiency and Spectral Efficiency in RIS-Aided Multi-User MISO Downlink
title_sort on the trade-off between energy efficiency and spectral efficiency in ris-aided multi-user miso downlink
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2021-05-01
description As reconfigurable intelligent surfaces (RISs) have been gradually brought to reality, a large amount of research has been conducted to investigate the immense benefits of RISs. That is because RISs enable us to artificially direct the radio wave propagating through the environment at a relatively low cost. This paper investigates the trade-off between spectral efficiency (SE) and energy efficiency (EE) in the RIS-aided multi-user multiple-input single-output downlink. We develop an optimization framework for designing the transmitting precoding at the base station and the phase shift values at the RIS to balance the EE-SE trade-off. The proposed iterative optimization framework for the design includes quadratic transform, alternating optimization, and weighted minimization mean-square error conversion. Simulation results illustrate our optimization framework algorithm exhibits effectiveness and a fast convergence rate.
topic energy efficiency
intelligent reflecting surface (IRS)
multi-user downlink
reconfigurable intelligent surface (RIS)
spectral efficiency
url https://www.mdpi.com/2079-9292/10/11/1307
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