论文标题
朝着6G无服务器P-LEO卫星网络的弹性访问平等
Towards Resilient Access Equality for 6G Serverless p-LEO Satellite Networks
论文作者
论文摘要
低地球轨道（LEO）巨型构造，整合政府空间系统和商业实践，由于其良好的全球覆盖范围和无处不在的军事和民用用例服务的优点，已成为第六代（6G）网络的能力。但是，基于融合狮子座的卫星网络基础设施仍然缺乏空间和陆地系统协同作用。因此，本文将传统的无服务器云平台扩展到6G增殖的LEO（P-LEO）卫星生态系统，并从网络角度提供新的分布式培训设计。拟议的设计动态策划了异构物理单位之间的通信和计算功能和资源，以有效地完成服务级别协议的多代理深度强化学习。还研究了创新的生态系统增强功能，包括超人行的访问，抗裁定的传输，弹性网络和相关的开放挑战，以进行端到端连接，通信和学习绩效。
Low earth orbit (LEO) mega-constellations, integrating government space systems and commercial practices, have emerged as enabling technologies for the sixth generation (6G) networks due to their good merits of global coverage and ubiquitous services for military and civilian use cases. However, convergent LEO-based satellite networking infrastructures still lack leveraging the synergy of space and terrestrial systems. This paper, therefore, extends conventional serverless cloud platforms with serverless edge learning architectures for 6G proliferated LEO (p-LEO) satellite ecosystems and provides a new distributed training design from a networking perspective. The proposed design dynamically orchestrates communications and computation functionalities and resources among heterogeneous physical units to efficiently fulfill multi-agent deep reinforcement learning for service-level agreements. Innovative ecosystem enhancements, including ultrabroadband access, anti-jammed transmissions, resilient networking, and related open challenges, are also investigated for end-to-end connectivity, communications, and learning performance.
