Dueling DDQN-Based Adaptive Multi-Objective Handover Optimization for LEO Satellite Networks

Po-Heng Chou, Chiapin Wang, Chung-Chi Huang, Kuan-Hao Chen
5/4/2026
cs.ITcs.LG

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Abstract

In this paper, we propose a dueling double deep Q-network (DDQN)-based adaptive multi-objective handover framework for low Earth orbit (LEO) satellite networks. The proposed method enables dynamic trade-off learning among throughput, blocking probability, and switching cost under time-varying network conditions. Simulation results demonstrate that the proposed approach consistently outperforms conventional baselines, achieving up to 10.3% throughput improvement and near-zero blocking under typical operating conditions.

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Cite this paper

@article{chou2026dueling,
  title  = {Dueling DDQN-Based Adaptive Multi-Objective Handover Optimization for LEO Satellite Networks},
  author = {Po-Heng Chou and Chiapin Wang and Chung-Chi Huang and Kuan-Hao Chen},
  year   = {2026},
  eprint = {2605.02416},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2605.02416v2}
}

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