TP393
国家自然科学基金(62032003, 62372061, 62425203, U21B2016); 中央高校基本科研业务费专项资金(2024ZCJH11)
近年来, 随着太空任务的日益复杂化, 太空数据呈现爆炸式增长. 然而, 受限于星地链路带宽限制和稀缺的频谱资源, 传统弯管架构在星地数据传输中遭遇瓶颈. 此外, 星上数据必须等待卫星经过地面站上空才能下传, 而大规模建设地面站不仅成本高昂, 还面临地缘政治风险和经济收益的不确定性. 卫星边缘计算作为一种有效的解决方案, 通过在卫星边缘引入移动边缘计算技术, 能够显著提升用户体验, 同时有效减少网络冗余流量. 在轨处理星上原始数据不仅缩短了数据获取时间, 还减少了对地面站的依赖. 此外, 卫星边缘计算结合人工智能技术, 为应对当前挑战提供了高效且充满潜力的解决方案. 综述卫星边缘计算智能化技术的研究现状: 首先探讨其在多个典型场景下的需求与应用; 随后分析该领域的关键挑战和研究进展; 最后归纳若干开放性研究课题, 并提出可借鉴的新思路. 期望通过讨论, 为推动卫星边缘计算智能化技术创新与实际应用提供有价值的参考.
In recent years, the increasing complexity of space missions has led to an exponential growth in space-generated data. However, limited satellites-to-ground bandwidth and scarce frequency resources pose significant challenges to traditional bent-pipe architecture, which faces severe transmission bottlenecks. In addition, onboard data must wait for satellites to pass over ground stations before transmission. The large-scale construction of ground stations is not only cost-prohibitive but also carries geopolitical and economic risks. Satellite edge computing has emerged as a promising solution to these bottlenecks by integrating mobile edge computing technology into satellite edges. This approach significantly enhances user experience and reduces redundant network traffic. By enabling onboard data processing, satellite edge computing shortens data acquisition times and reduces reliance on extensive ground station infrastructure. Furthermore, the integration of artificial intelligence (AI) and edge computing technologies offers an efficient and forward-looking path to address existing challenges. This study reviews the latest progress in intelligent satellite edge computing. First, the demands and applications of satellite edge computing in various typical scenarios are discussed. Next, key challenges and recent research advancements in this field are analyzed. Finally, several open research topics are highlighted, and new ideas are proposed to guide future studies. This discussion aims to provide valuable insights to promote technological innovation and the practical implementation of satellite edge computing.
张其阳,邢若粼,李元哲,周傲,徐梦炜,王尚广.卫星边缘计算智能化技术研究进展.软件学报,,():1-18
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