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.
Authors
- Haichuan Ding (ORCID: https://orcid.org/0000-0002-6170-4461)
- Yuguang Fang (ORCID: https://orcid.org/0000-0002-1079-3871)
- Xuanheng Li (ORCID: https://orcid.org/0000-0003-2606-6932)
- Haixia Zhang (ORCID: https://orcid.org/0000-0001-5081-7287)
- Yue Cui (ORCID: https://orcid.org/0000-0003-0136-5493)
- Yan Ma (ORCID: https://orcid.org/0009-0004-9476-8295)
Institutions
- Beijing Institute of Technology (CN)
- Shandong University (CN)
- City University of Hong Kong (HK)
- Dalian University of Technology (CN)
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