Improving satellite network efficiency with terminal traffic prediction and SQP-SRA algorithm

IF 4.3 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Computer Communications Pub Date : 2025-08-07 DOI:10.1016/j.comcom.2025.108293

Liangang Qi , Enqiang Wang , Tianfang Xu , Yuan Zhu , Yun Zhao

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引用次数: 0

Abstract

To address the low resource utilization in satellite networks caused by heterogeneous regional traffic demands, this paper proposes a resource allocation strategy for LEO satellite internet based on terminal traffic prediction. An improved LSTM-GRU hybrid model is developed using real-world datasets to forecast ground traffic, accounting for periodic patterns and weather effects. A leaseable EOSN differentiated transmission framework is designed to enable targeted resource allocation and inter-satellite leasing, enhancing network coverage. To optimize data transmission ratios, user bandwidth, and service pricing, we introduce a sequential quadratic programming-based satellite resource allocation (SQP-SRA) algorithm that balances latency and energy consumption. Compared with LSTM, GRU, Transformer, and wavelet neural networks, the proposed model reduces traffic prediction error by approximately 26%. Simulation results demonstrate that, relative to the DDTOA, FCFS, and TOMRA algorithms, the proposed strategy improves user benefits by approximately 60% and enhances satellite service provider revenues by approximately 80%.

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利用终端流量预测和SQP-SRA算法提高卫星网络效率

针对区域业务需求异构导致卫星网络资源利用率低的问题，提出了一种基于终端业务预测的低轨道卫星互联网资源分配策略。改进的LSTM-GRU混合模型利用真实世界的数据集来预测地面交通，考虑到周期性模式和天气影响。可租赁的EOSN差异化传输框架旨在实现有针对性的资源分配和卫星间租赁，增强网络覆盖。为了优化数据传输率、用户带宽和服务定价，我们引入了一种基于顺序二次规划的卫星资源分配（SQP-SRA）算法，以平衡延迟和能耗。与LSTM、GRU、Transformer和小波神经网络相比，该模型的流量预测误差降低了约26%。仿真结果表明，与DDTOA、FCFS和TOMRA算法相比，该策略可使用户收益提高约60%，使卫星服务提供商收益提高约80%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Communications 工程技术-电信学

CiteScore

14.10

自引率

5.00%

发文量

397

审稿时长

66 days

期刊介绍： Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today''s computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms. Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications.