Collaborative Sensing in Perceptive Mobile Networks: Opportunities and Challenges
Lei Xie, S.H. Song, Yonina C. Eldar, Khaled B. Letaief

TL;DR
This paper reviews the design and challenges of perceptive mobile networks (PMNs) that integrate sensing and communication to enable environment-aware applications like autonomous driving, highlighting opportunities and future research directions.
Contribution
It provides a comprehensive overview of PMN architectures, sensing protocols, key research challenges, and potential solutions, advancing understanding of integrated sensing and communication.
Findings
Large coverage and networked sensing enable collaborative environment perception.
Interference and complex environments pose significant challenges for PMNs.
Future research directions include addressing interference and enhancing high-speed target tracking.
Abstract
With the development of innovative applications that demand accurate environment information, e.g., autonomous driving, sensing becomes an important requirement for future wireless networks. To this end, integrated sensing and communication (ISAC) provides a promising platform to exploit the synergy between sensing and communication, where perceptive mobile networks (PMNs) were proposed to add accurate sensing capability to existing wireless networks. The well-developed cellular networks offer exciting opportunities for sensing, including large coverage, strong computation and communication power, and most importantly networked sensing, where the perspectives from multiple sensing nodes can be collaboratively utilized for sensing the same target. However, PMNs also face big challenges such as the inherent interference between sensing and communication, the complex sensing environment,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Energy Efficient Wireless Sensor Networks · Energy Harvesting in Wireless Networks
