Target Handover in Distributed Integrated Sensing and Communication

TL;DR

This paper proposes a novel target handover method for 6G distributed integrated sensing and communications systems, enhancing target tracking accuracy and seamless handovers through optimized information sharing.

Contribution

It introduces a new handover algorithm integrated with the TPMBM filter to improve target trajectory sharing and handover performance in DISAC systems.

Findings

Simulation confirms improved tracking accuracy.

Effective target trajectory sharing enables seamless handovers.

Enhanced system coverage and performance.

Abstract

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.