# ISAC based seamless handover solution for SAGIN in high mobility environments

## TL;DR

This paper introduces a new handover solution for high-mobility networks using ISAC to reduce latency and improve connectivity in dynamic environments.

## Contribution

A novel ISAC-based handover method is proposed to enhance seamless connectivity in high-mobility SAGIN environments.

## Key findings

- The proposed method reduces latency and packet loss compared to existing ground-based and satellite-assisted handover methods.
- The approach balances resource allocation and supports seamless mobility between network layers.
- MATLAB simulations show improved network throughput and quality-of-service in dynamic environments.

## Abstract

Seamless and uninterrupted connectivity within high-mobility environments (e.g. aerospace and high-speed terrestrial transportation) drives a critical demand for Space-Air-Ground Integrated Networks (SAGIN). In such dynamic environments, conventional handovers lead to frequent loss of connection, higher latency, and diminished quality-of-service (QoS). A new high-mobility handover procedure for SAGIN based on the concept of Integrated Sensing and Communication (ISAC) is introduced. We suggest a new method using real-time environmental perception to improve the decision-making of hand over, reducing the frequency of handover, and balancing the spatial, air and ground network resource allocation. It combines dynamic priority scheduling and a cross-layer communication protocol into a general handover procedure for seamless mobility between network layers. MATLAB-based simulations show that, when compared to existing ground-based and satellite-assisted handover methods, the overhead of LEO-enabled handovers often results in a substantial reduction in latency while simultaneously providing enhanced network throughput with minimum packet loss. The results show that our approach is appropriate to preserve an agreement on the quality received in highly dynamic environments, opening perspectives with novel scientific questions for SAGIN and high-mobility networks.