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

Yue Cui, Haichuan Ding, Ying Ma*, Xuanheng Li, Haixia Zhang, Yuguang Fang

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

6 Citations (Scopus)
25 Downloads (CityUHK Scholars)

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. © 2002-2012 IEEE.
Original languageEnglish
JournalIEEE Transactions on Wireless Communications
Online published27 Dec 2024
DOIs
Publication statusOnline published - 27 Dec 2024

Research Keywords

  • energy consumption
  • integrated access and backhaul
  • Integrated sensing and communication
  • multi-BS collaborative sensing
  • resource allocation

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Cui, Y., Ding, H., Ma, Y., Li, X., Zhang, H., & Fang, Y. (2024). Energy-Efficient Integrated Sensing and Communication in Collaborative Millimeter Wave Networks. IEEE Transactions on Wireless Communications, 24(3), 2341-2357. https://doi.org/10.1109/TWC.2024.3520302

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