Near-Field Integrated Sensing and Communications

A near-field integrated sensing and communications (ISAC) framework is proposed, which introduces an additional distance dimension for both sensing and communications compared to the conventional far-field system. In particular, the Cramér-Rao bound for the near-field joint distance and angle sensin...

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Published inIEEE communications letters Vol. 27; no. 8; pp. 2048 - 2052
Main Authors Wang, Zhaolin, Mu, Xidong, Liu, Yuanwei
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Antennas
Channel estimation
Channel models
Cramer-Rao bounds
Far fields
Integrated sensing and communications (ISAC)
joint distance and angle estimation
Near fields
near-field
Optimization
Sensors
Symbols
Waveforms
Wireless sensor networks
Online AccessGet full text
ISSN1089-7798
1558-2558
DOI10.1109/LCOMM.2023.3280132

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Abstract A near-field integrated sensing and communications (ISAC) framework is proposed, which introduces an additional distance dimension for both sensing and communications compared to the conventional far-field system. In particular, the Cramér-Rao bound for the near-field joint distance and angle sensing is derived, which is minimized subject to the minimum communication rate requirement of each user. Both fully digital antennas and hybrid digital and analog antennas are investigated. For fully digital antennas, a globally optimal solution of the ISAC waveform is obtained via semidefinite relaxation. For hybrid antennas, a high-quality solution is obtained through two-stage optimization. Numerical results demonstrate the performance gain introduced by the additional distance dimension of the near-field ISAC over the far-field ISAC.
AbstractList A near-field integrated sensing and communications (ISAC) framework is proposed, which introduces an additional distance dimension for both sensing and communications compared to the conventional far-field system. In particular, the Cramér-Rao bound for the near-field joint distance and angle sensing is derived, which is minimized subject to the minimum communication rate requirement of each user. Both fully digital antennas and hybrid digital and analog antennas are investigated. For fully digital antennas, a globally optimal solution of the ISAC waveform is obtained via semidefinite relaxation. For hybrid antennas, a high-quality solution is obtained through two-stage optimization. Numerical results demonstrate the performance gain introduced by the additional distance dimension of the near-field ISAC over the far-field ISAC.
Author Liu, Yuanwei
Wang, Zhaolin
Mu, Xidong
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SubjectTerms Antennas
Channel estimation
Channel models
Cramer-Rao bounds
Far fields
Integrated sensing and communications (ISAC)
joint distance and angle estimation
Near fields
near-field
Optimization
Sensors
Symbols
Waveforms
Wireless sensor networks
Title Near-Field Integrated Sensing and Communications
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Volume 27
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