Multi-Node Multi-Band Cooperative Integrated Sensing and Communications: State-of-the-Art, Challenges and Opportunities

Integrated sensing and communication (ISAC), a pivotal advancement in 6G networks, can increase spectrum utilization and support innovative applications such as digital twins and smart cities. Nonetheless, existing single-node ISAC networks face challenges such as restricted coverage, limited sensing capabilities, and the inability to meet the stringent quality of service (QoS) requirements for combined sensing and communication. Multinode multi-band cooperative ISAC (MNMB-ISAC) networks have emerged as a promising strategy to overcome these challenges. In this study, we introduce a user-demand-driven MNMB-ISAC framework that exploits the advantages of ISAC, multi-node cooperative ISAC, and multi-band cooperative ISAC. This network architecture is designed to provide specialized services for a variety of communications or sensing requirements, substantially improving the network performance through cooperative resource allocation strategies. The empirical performance evaluations confirm the efficacy of the MNMB-ISAC approach in ensuring high QoS, guaranteeing mobility services, and improving edge coverage. Furthermore, we examine the challenges encountered by MNMB-ISAC and prospective research avenues. This work is expected to stimulate further breakthroughs in the domain of cooperative ISAC.

Authors

Institutions

Publication Details

Journal
IEEE Wireless Communications
Published
2025-04-21
DOI
https://doi.org/10.1109/mwc.001.2400330
Citations
5
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
24.97
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Node Multi-Band Cooperative Integrated Sensing and Communications: State-of-the-Art, Challenges and Opportunities

Kaiqian Qu, Chen Sun, Basuki E. Priyanto, Shuo Wang et al.
5 citations
IEEE Wireless Communications
Antenna Design and Optimization
24.97
article

Multi-Node Multi-Band Cooperative Integrated Sensing and Communications: State-of-the-Art, Challenges and Opportunities

Kaiqian Qu, Chen Sun, Basuki E. Priyanto, Shuo Wang, Haijun Zhang, Xiaoxue Wang, Hongmin Li, Yujie Zhang
article en
5 citations

Abstract

Integrated sensing and communication (ISAC), a pivotal advancement in 6G networks, can increase spectrum utilization and support innovative applications such as digital twins and smart cities. Nonetheless, existing single-node ISAC networks face challenges such as restricted coverage, limited sensing capabilities, and the inability to meet the stringent quality of service (QoS) requirements for combined sensing and communication. Multinode multi-band cooperative ISAC (MNMB-ISAC) networks have emerged as a promising strategy to overcome these challenges. In this study, we introduce a user-demand-driven MNMB-ISAC framework that exploits the advantages of ISAC, multi-node cooperative ISAC, and multi-band cooperative ISAC. This network architecture is designed to provide specialized services for a variety of communications or sensing requirements, substantially improving the network performance through cooperative resource allocation strategies. The empirical performance evaluations confirm the efficacy of the MNMB-ISAC approach in ensuring high QoS, guaranteeing mobility services, and improving edge coverage. Furthermore, we examine the challenges encountered by MNMB-ISAC and prospective research avenues. This work is expected to stimulate further breakthroughs in the domain of cooperative ISAC.

IEEE Wireless CommunicationsVol. 32(4)
Shandong University (CN), Sony (China) (CN), Sony (Sweden) (SE), University of Science and Technology Beijing (CN)
Openalex Percentile: Top 1%
Antenna Design and Optimization
24.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Multi-Node Multi-Band Cooperative Integrated Sensing and Communications: State-of-the-Art, Challenges and Opportunities — Kaiqian Qu, Chen Sun, et al. · IEEE Wireless Communications (2025) | TGRS Research Map | TGRS