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Target Handover in Distributed Integrated Sensing and Communication

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arxiv 2411.01871 v1 pith:IV3NEHLW submitted 2024-11-04 eess.SP

Yu Ge , Ossi Kaltiokallio , Hui Chen , Jukka Talvitie , Yuxuan Xia , Giyyarpuram Madhusudan , Guillaume Larue , Lennart Svensson
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Mikko Valkama Henk Wymeersch
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keywords targethandoversensingdisacdistributedintegratedtrackingcommunication
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The concept of 6G distributed integrated sensing and communications (DISAC) builds upon the functionality of integrated sensing and communications (ISAC) by integrating distributed architectures, significantly enhancing both sensing and communication coverage and performance. In 6G DISAC systems, tracking target trajectories requires base stations (BSs) to hand over their tracked targets to neighboring BSs. Determining what information to share, where, how, and when is critical to effective handover. This paper addresses the target handover challenge in DISAC systems and introduces a method enabling BSs to share essential target trajectory information at appropriate time steps, facilitating seamless handovers to other BSs. The target tracking problem is tackled using the standard trajectory Poisson multi-Bernoulli mixture (TPMBM) filter, enhanced with the proposed handover algorithm. Simulation results confirm the effectiveness of the implemented tracking solution.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Belief Propagation-based Target Handover in Distributed Integrated Sensing and Communication

    eess.SP 2025-06 conditional novelty 5.0 of 10

    A belief-propagation handover rule lets distributed base stations exchange only selected target beliefs and measurements, matching centralized tracking accuracy in simulation.

  2. Sensing-Enhanced Handover Criterion for Low-Altitude Wireless Network (LAWNs)

    cs.IT 2025-05 conditional novelty 4.0 of 10

    A joint handover criterion that triggers when either RSRP or ISAC-based distance estimates exceed thresholds reduces the handover region length by 75.20% and increases activation probability by 76.31% in the paper's model.

  3. Network-Level ISAC Design: State-of-the-Art, Challenges, and Opportunities

    eess.SP 2025-05 conditional novelty 3.0 of 10

    A survey of network-level integrated sensing and communication, covering cooperative architectures, stochastic-geometry performance analysis, distributed signaling, and over-the-air synchronization.

  4. Distributed Intelligent Sensing and Communications for 6G: Architecture and Use Cases

    eess.SP 2025-04 reject novelty 3.0 of 10

    A qualitative proposal for a distributed ISAC architecture for 6G, with smart factory and vulnerable road user use cases, but no quantitative validation.

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