PreHO: Predictive Handover for LEO Satellite Networks
This work provides a solution to improve connectivity and user experience in LEO satellite networks, which are crucial for extending internet access to underserved areas.
This paper addresses the challenges of handover mechanisms in Low-Earth Orbit (LEO) Satellite Networks (LSNs) due to rapid satellite movement and high latency. It proposes PreHO, a predictive handover mechanism that plans handovers in advance, significantly outperforming traditional schemes in signaling overhead, handover latency, and user experience.
Low-Earth Orbit (LEO) Satellite Networks (LSNs) offer a promising solution for extending connectivity to areas not covered by Terrestrial Networks (TNs). However, the rapid movement, broad coverage, and high communication latency of LEO satellites pose significant challenges to conventional handover mechanisms, resulting in unacceptable signaling overhead and handover latency. To address these issues, this paper identifies a fundamental difference between the mobility patterns in LSNs and TNs: users are typically stationary relative to the fast- moving satellites, and channel states in LSNs are often stable and predictable. This observation enables handovers to be planned in advance rather than triggered reactively. Motivated by this insight, we propose PreHO, a predictive handover mechanism tailored for LSNs that proactively determines optimal handover strategies, thereby simplifying the handover process and enhancing overall efficiency. To optimize the pre-planned handover decisions, we further formulate the handover planning problem and develop an efficient iterative algorithm based on alternating optimization and dynamic programming. Extensive evaluations driven by real-world data demonstrate that PreHO significantly outperforms traditional handover schemes in terms of signaling overhead, handover latency, and user experience.