Energy-Efficient Integrated Sensing and Communication in Collaborative Millimeter Wave Networks

Integrated sensing and communication (ISAC), which integrates sensing capabilities into wireless communication networks, is emerging as a key technology for future millimeter wave (mmWave) communication networks. Given the limited ISAC capability and energy budget of a single base station (BS), this paper studies how to enable energy-efficient sensing and communication via multi-BS collaborative sensing, where each sensing task is served by its most energy-efficient BS as much as possible, with the help of other BSs. Since unregulated multi-BS collaboration may lead to energy wastage and further aggravates the energy consumption in mmWave networks, an energy-efficient collaborative ISAC scheme is proposed, where multi-BS collaborative sensing and dual-functional radar and communication (DFRC) beams are judiciously utilized to reduce the network’s energy consumption. We formulate the design of the energy-efficient collaborative ISAC scheme as a mixed integer nonlinear programming problem by jointly considering task allocation, beam scheduling, and transmit power control. Then, an energy-efficient cooperative beam scheduling (EE-CBS) algorithm is developed for efficient solution finding. Through extensive simulations, the proposed scheme is shown to significantly reduce the network’s energy consumption when compared to the scheme without multi-BS cooperation or the utilization of DFRC waveforms.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2024-12-27
DOI
https://doi.org/10.1109/twc.2024.3520302
Citations
7
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
Field-Weighted Citation Impact
1.46
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article

Energy-Efficient Integrated Sensing and Communication in Collaborative Millimeter Wave Networks

Haichuan Ding, Yuguang Fang, Xuanheng Li, Haixia Zhang et al.
7 citations
IEEE Transactions on Wireless Communications
Millimeter-Wave Propagation and Modeling
1.46
article

Energy-Efficient Integrated Sensing and Communication in Collaborative Millimeter Wave Networks

Haichuan Ding, Yuguang Fang, Xuanheng Li, Haixia Zhang, Yue Cui, Yan Ma
article en
7 citations

Abstract

Integrated sensing and communication (ISAC), which integrates sensing capabilities into wireless communication networks, is emerging as a key technology for future millimeter wave (mmWave) communication networks. Given the limited ISAC capability and energy budget of a single base station (BS), this paper studies how to enable energy-efficient sensing and communication via multi-BS collaborative sensing, where each sensing task is served by its most energy-efficient BS as much as possible, with the help of other BSs. Since unregulated multi-BS collaboration may lead to energy wastage and further aggravates the energy consumption in mmWave networks, an energy-efficient collaborative ISAC scheme is proposed, where multi-BS collaborative sensing and dual-functional radar and communication (DFRC) beams are judiciously utilized to reduce the network’s energy consumption. We formulate the design of the energy-efficient collaborative ISAC scheme as a mixed integer nonlinear programming problem by jointly considering task allocation, beam scheduling, and transmit power control. Then, an energy-efficient cooperative beam scheduling (EE-CBS) algorithm is developed for efficient solution finding. Through extensive simulations, the proposed scheme is shown to significantly reduce the network’s energy consumption when compared to the scheme without multi-BS cooperation or the utilization of DFRC waveforms.

IEEE Transactions on Wireless CommunicationsVol. 24(3)
Beijing Institute of Technology (CN), Shandong University (CN), City University of Hong Kong (HK), Dalian University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 17%
Millimeter-Wave Propagation and Modeling
1.46
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Energy-Efficient Integrated Sensing and Communication in Collaborative Millimeter Wave Networks — Haichuan Ding, Yuguang Fang, et al. · IEEE Transactions on Wireless Communications (2024) | TGRS Research Map | TGRS