TY  - JOUR
T1  - Energy-Efficient Integrated Sensing and Communication in Collaborative Millimeter Wave Networks
AU  - Cui, Yue
AU  - Ding, Haichuan
AU  - Ma, Ying
AU  - Li, Xuanheng
AU  - Zhang, Haixia
AU  - Fang, Yuguang
N1  - Publisher Copyright:
© 2002-2012 IEEE.
PY  - 2025
Y1  - 2025
N2  - 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.
AB  - 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.
KW  - Integrated sensing and communication
KW  - energy consumption
KW  - integrated access and backhaul
KW  - multi-BS collaborative sensing
KW  - resource allocation
UR  - http://www.scopus.com/pages/publications/105001059866
U2  - 10.1109/TWC.2024.3520302
DO  - 10.1109/TWC.2024.3520302
M3  - Article
AN  - SCOPUS:105001059866
SN  - 1536-1276
VL  - 24
SP  - 2341
EP  - 2357
JO  - IEEE Transactions on Wireless Communications
JF  - IEEE Transactions on Wireless Communications
IS  - 3
ER  -