空天地海一体化的大规模随机接入方法研究

Research On Massive Random Access Method for Space Air-Ground Sea Integrated Networks

空天地海一体化网络为解决承载大规模设备接入问题提供一种新的方案与思路。针对日益增长的大规模设备接入问题,提出了基于机器学习的随机接入方法,增加在大规模设备接入情形下的接入成功设备的数量。先阐述了空天地海一体化网络下的MAC层系统模型,接着对比分析了五种随机接入方法。最终实验结果表明,所提出的适应性随机接入方法能够增加网络系统的接入成功的设备数量。

Space-air-ground-sea integrated networks(SAGSINs)provide a novel solution and perspective to address the challenge of accommodating massive random access in communication systems.In response to the escalating issue of handling massive device access,a reinforcement learming-based random acess method is proposed to enhance the success rate of device connections in such scenarios.Firstly,the MAC layer system model within the SAGSINs is elucidated,fllowed by a comparative analysis of five distinct random access methods.Finally,experimental results demonstrate the eficacy of the proposed adaptive random access method in increasing the number of scssfully connected devices within the network system.