Handover-Optimal User Association Policy for LEO Satellite-based 5G NTN
For 5G NTN operators, this addresses the critical problem of frequent handovers degrading user experience and increasing signaling overhead.
This work minimizes handovers in LEO satellite systems while preventing satellite overloading, using a game-theoretic approach and a low-complexity heuristic. The proposed algorithms achieve handover efficiency and load balancing.
The integration of Non Terrestrial Networks into 5G and beyond cellular systems has introduced a significant paradigm shift, enabling ubiquitous connectivity and extending services to previously unconnected and underserved remote regions. In particular, Low Earth Orbit satellites, operating close to the Earth surface, can provide communication latency comparable to that of terrestrial networks. However, due to their high mobility, LEO satellites trigger frequent handovers, which degrade users quality of experience and increase signaling overhead. In this work, our objective is to minimize the number of handovers in a LEO satellite system while preventing satellite overloading. We formulate the problem within a game theoretic framework and apply the Spatial Adaptive Play algorithm to obtain a handover efficient and load balanced solution. Additionally, we propose a low complexity heuristic algorithm to achieve similar objectives with reduced computational overhead.