Utilizing Imperfect Resolution of Near-Field Beamforming: A Hybrid-NOMA Perspective

Zhiguo Ding; H. Vincent Poor

doi:10.1109/LCOMM.2024.3398412

Utilizing Imperfect Resolution of Near-Field Beamforming: A Hybrid-NOMA Perspective

Zhiguo Ding, H. Vincent Poor

Princeton University

Research output: Contribution to journal › Article › peer-review

Abstract

This letter studies how the imperfect resolution of near-field beamforming, the key feature of near-field communications, can be used to improve the throughput and connectivity of wireless networks. In particular, a hybrid non-orthogonal multiple access (NOMA) transmission strategy is developed to use preconfigured near-field beams for serving additional users. An energy consumption minimization problem is first formulated and then solved by using different successive interference cancellation strategies. Both analytical and simulation results are presented to illustrate the impact of the resolution of near-field beamforming on the design of hybrid-NOMA transmission.

Original language	British English
Pages (from-to)	1718-1722
Number of pages	5
Journal	IEEE Communications Letters
Volume	28
Issue number	7
DOIs	https://doi.org/10.1109/LCOMM.2024.3398412
State	Published - 2024

Keywords

Array signal processing
Base stations
Energy consumption
Energy resolution
Minimization
Near-field communication
NOMA
non-orthogonal multiple access (NOMA)
resolution of near-field beamforming
Vectors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/LCOMM.2024.3398412

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title = "Utilizing Imperfect Resolution of Near-Field Beamforming: A Hybrid-NOMA Perspective",

abstract = "This letter studies how the imperfect resolution of near-field beamforming, the key feature of near-field communications, can be used to improve the throughput and connectivity of wireless networks. In particular, a hybrid non-orthogonal multiple access (NOMA) transmission strategy is developed to use preconfigured near-field beams for serving additional users. An energy consumption minimization problem is first formulated and then solved by using different successive interference cancellation strategies. Both analytical and simulation results are presented to illustrate the impact of the resolution of near-field beamforming on the design of hybrid-NOMA transmission.",

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author = "Zhiguo Ding and {Vincent Poor}, H.",

note = "Publisher Copyright: {\textcopyright} 1997-2012 IEEE.",

year = "2024",

doi = "10.1109/LCOMM.2024.3398412",

language = "British English",

volume = "28",

pages = "1718--1722",

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T1 - Utilizing Imperfect Resolution of Near-Field Beamforming

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AU - Ding, Zhiguo

AU - Vincent Poor, H.

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N2 - This letter studies how the imperfect resolution of near-field beamforming, the key feature of near-field communications, can be used to improve the throughput and connectivity of wireless networks. In particular, a hybrid non-orthogonal multiple access (NOMA) transmission strategy is developed to use preconfigured near-field beams for serving additional users. An energy consumption minimization problem is first formulated and then solved by using different successive interference cancellation strategies. Both analytical and simulation results are presented to illustrate the impact of the resolution of near-field beamforming on the design of hybrid-NOMA transmission.

AB - This letter studies how the imperfect resolution of near-field beamforming, the key feature of near-field communications, can be used to improve the throughput and connectivity of wireless networks. In particular, a hybrid non-orthogonal multiple access (NOMA) transmission strategy is developed to use preconfigured near-field beams for serving additional users. An energy consumption minimization problem is first formulated and then solved by using different successive interference cancellation strategies. Both analytical and simulation results are presented to illustrate the impact of the resolution of near-field beamforming on the design of hybrid-NOMA transmission.

KW - Array signal processing

KW - Base stations

KW - Energy consumption

KW - Energy resolution

KW - Minimization

KW - Near-field communication

KW - NOMA

KW - non-orthogonal multiple access (NOMA)

KW - resolution of near-field beamforming

KW - Vectors

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DO - 10.1109/LCOMM.2024.3398412

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AN - SCOPUS:85192987215

SN - 1089-7798

VL - 28

SP - 1718

EP - 1722

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 7

ER -

Utilizing Imperfect Resolution of Near-Field Beamforming: A Hybrid-NOMA Perspective

Abstract

Keywords

UN SDGs

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