Energy-Efficient Near-Field Beamforming: A Review on Practical Channel Models

The unprecedented expansion of wireless networks has resulted in spectrum sharing between numerous connected devices, demanding advanced interference management and higher energy consumption, which exacerbates the carbon footprint. Near-field communication emerges as a promising solution to these ch...

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Main Authors: Haoran Ni, Mahnoor Anjum, Deepak Mishra, Aruna Seneviratne
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/18/11/2966
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author Haoran Ni
Mahnoor Anjum
Deepak Mishra
Aruna Seneviratne
author_facet Haoran Ni
Mahnoor Anjum
Deepak Mishra
Aruna Seneviratne
author_sort Haoran Ni
collection DOAJ
description The unprecedented expansion of wireless networks has resulted in spectrum sharing between numerous connected devices, demanding advanced interference management and higher energy consumption, which exacerbates the carbon footprint. Near-field communication emerges as a promising solution to these challenges as it enables precise signal focusing which reduces power consumption by providing higher spatial multiplexing gains. This review explores how near-field (NF) multiple-input multiple-output (MIMO) beamforming can enhance energy efficiency by optimizing beamfocusing and minimizing unnecessary energy expenditure. We discuss the latest advancements in near-field beamforming, emphasizing energy-efficient strategies and sustainable practices. Recognizing which practical channel models are better suited for near-field communication, we delve into the integration of Electromagnetic Information Theory (EIT) as a joint model for realistic applications. We also discuss the channel models for near-field beamforming, incorporating EIT to provide a comprehensive overview of current methodologies. We further analyze the strengths and limitations of existing channel models and discuss the state-of-the-art models which address existing gaps. We also explore opportunities for the practical deployment of energy-efficient near-field beamforming systems. By summarizing future research directions, this review aims to advance the understanding and application of sustainable energy practices in near-field communication technologies.
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spelling doaj-art-117be996767a4d4a95bc253044079faa2025-08-20T03:11:18ZengMDPI AGEnergies1996-10732025-06-011811296610.3390/en18112966Energy-Efficient Near-Field Beamforming: A Review on Practical Channel ModelsHaoran Ni0Mahnoor Anjum1Deepak Mishra2Aruna Seneviratne3School of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), Sydney, NSW 2052, AustraliaSchool of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), Sydney, NSW 2052, AustraliaSchool of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), Sydney, NSW 2052, AustraliaSchool of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), Sydney, NSW 2052, AustraliaThe unprecedented expansion of wireless networks has resulted in spectrum sharing between numerous connected devices, demanding advanced interference management and higher energy consumption, which exacerbates the carbon footprint. Near-field communication emerges as a promising solution to these challenges as it enables precise signal focusing which reduces power consumption by providing higher spatial multiplexing gains. This review explores how near-field (NF) multiple-input multiple-output (MIMO) beamforming can enhance energy efficiency by optimizing beamfocusing and minimizing unnecessary energy expenditure. We discuss the latest advancements in near-field beamforming, emphasizing energy-efficient strategies and sustainable practices. Recognizing which practical channel models are better suited for near-field communication, we delve into the integration of Electromagnetic Information Theory (EIT) as a joint model for realistic applications. We also discuss the channel models for near-field beamforming, incorporating EIT to provide a comprehensive overview of current methodologies. We further analyze the strengths and limitations of existing channel models and discuss the state-of-the-art models which address existing gaps. We also explore opportunities for the practical deployment of energy-efficient near-field beamforming systems. By summarizing future research directions, this review aims to advance the understanding and application of sustainable energy practices in near-field communication technologies.https://www.mdpi.com/1996-1073/18/11/2966energy efficiencynear fieldelectromagnetic information theorywireless power transfergreen resource allocation
spellingShingle Haoran Ni
Mahnoor Anjum
Deepak Mishra
Aruna Seneviratne
Energy-Efficient Near-Field Beamforming: A Review on Practical Channel Models
Energies
energy efficiency
near field
electromagnetic information theory
wireless power transfer
green resource allocation
title Energy-Efficient Near-Field Beamforming: A Review on Practical Channel Models
title_full Energy-Efficient Near-Field Beamforming: A Review on Practical Channel Models
title_fullStr Energy-Efficient Near-Field Beamforming: A Review on Practical Channel Models
title_full_unstemmed Energy-Efficient Near-Field Beamforming: A Review on Practical Channel Models
title_short Energy-Efficient Near-Field Beamforming: A Review on Practical Channel Models
title_sort energy efficient near field beamforming a review on practical channel models
topic energy efficiency
near field
electromagnetic information theory
wireless power transfer
green resource allocation
url https://www.mdpi.com/1996-1073/18/11/2966
work_keys_str_mv AT haoranni energyefficientnearfieldbeamformingareviewonpracticalchannelmodels
AT mahnooranjum energyefficientnearfieldbeamformingareviewonpracticalchannelmodels
AT deepakmishra energyefficientnearfieldbeamformingareviewonpracticalchannelmodels
AT arunaseneviratne energyefficientnearfieldbeamformingareviewonpracticalchannelmodels