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arXiv 2602.01102cs.NI
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6G及以后集成卫星- terrestrial网络的鲁棒性优化:一种深度强化学习方法

Resilience Optimization in 6G and Beyond Integrated Satellite-Terrestrial Networks: A Deep Reinforcement Learning Approach

University of Luxembourg(卢森堡大学);University of Liverpool(利物浦大学);Duy Tan University(Duy Tan 大学)

Dinh-Hieu Tran, Nguyen Van Huynh, Van Nhan Vo, Madyan Alsenwi, Eva Lagunas, Symeon Chatzinotas

AI总结:

本文提出一种基于深度强化学习的鲁棒性优化方法,用于6G及以后集成卫星- terrestrial网络,通过优化基站参数和用户关联提升网络鲁棒性与吞吐量。

摘要:

在6G及以后的网络中确保网络鲁棒性对于在基站(BS)故障、灾难、攻击或节能操作导致的基站停机期间维持服务连续性至关重要。本文提出了一种新的鲁棒性优化框架,用于集成卫星- terrestrial网络(ISTNs),利用低地球轨道(LEO)卫星在陆地基站不可用时协助用户。具体而言,我们开发了一个现实的多小区模型,包括用户关联、天线下倾适应、功率控制、异构流量需求和动态用户分布。目标是通过优化基站的天线倾角、发射功率、用户关联到邻近基站或LEO卫星,以最大化考虑区域内的总用户速率,同时满足由速率和参考信号接收功率(RSRP)要求定义的最小成功服务用户满意度约束。为了解决非凸、NP难的问题,我们设计了一种基于深度Q网络(DQN)的算法,以学习网络动态以在最大化吞吐量的同时最小化LEO卫星的使用,从而限制对具有更长传播延迟的链路的依赖,并延长卫星的使用寿命。仿真结果证实,我们的方法显著优于基准方法。

英文摘要:

Ensuring network resilience in 6G and beyond is essential to maintain service continuity during base station (BS) outages due to failures, disasters, attacks, or energy-saving operations. This paper proposes a novel resilience optimization framework for integrated satellite-terrestrial networks (ISTNs), leveraging low Earth orbit (LEO) satellites to assist users when terrestrial BSs are unavailable. Specifically, we develop a realistic multi-cell model incorporating user association, antenna downtilt adaptation, power control, heterogeneous traffic demands, and dynamic user distribution. The objective is to maximize of the total user rate in the considered area by optimizing the BS's antenna tilt, transmission power, user association to neighboring BS or to a LEO satellite with a minimum number of successfully served user satisfaction constraint, defined by rate and Reference Signal Received Power (RSRP) requirements. To solve the non-convex, NP-hard problem, we design a deep Q-network (DQN)-based algorithm to learn network dynamics to maximize throughput while minimizing LEO satellite usage, thereby limiting reliance on links with longer propagation delays and prolonging satellite operational lifetime. Simulation results confirm that our approach significantly outperforms the benchmark one.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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