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 - energy consumption
KW - integrated access and backhaul
KW - Integrated sensing and communication
KW - multi-BS collaborative sensing
KW - resource allocation
UR - http://www.scopus.com/inward/record.url?scp=105001059866&partnerID=8YFLogxK
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 -