[PDF][PDF] 空地一体化网络服务连续性保障的低功耗通信与控制联合优化方法

蔡自伟, 盛敏, 刘俊宇, 赵晨曦, 李建东 - Journal of Electronics & …, 2022 - jeit.ac.cn
空地一体化网络(AGIN) 充分利用了空中基站(ABSs) 灵活部署的特点, 为热点地区提供了按需
覆盖与高质量服务. 然而, 空中基站的高动态性使得网络的服务连续性难以保障. 而且 …

Low-power Communication and Control Joint Optimization for Service Continuity Assurance in Aerial-Ground Integrated Networks

Z CAI, M SHENG, J LIU, C ZHAO, J LI - 电子与信息学报, 2022 - jeit.ac.cn
Abstract The Aerial-Ground Integrated Networks (AGIN) take full advantage of the flexible
deployment of Aerial Base Stations (ABSs) to provide on-demand coverage and high-quality …

[PDF][PDF] 基于深度强化学习的空天地一体化网络资源分配算法

刘雪芳, 毛伟灏, 杨清海 - Journal of Electronics & Information Technology, 2022 - jeit.ac.cn
空天地一体化网络(SAGIN) 通过提高地面网络的资源利用率可以有效满足多种业务类型的通信
需求, 然而忽略了系统的自适应能力和鲁棒性及不同用户的服务质量(QoS). 针对这一问题 …

基于交替方向乘子法与深度强化学习算法的资源分配

郭兴康, 孙君 - 北京邮电大学学报, 2022 - journal.bupt.edu.cn
为了研究在有限信道状态信息下, 密集型网络的资源分配问题, 提出了交替方向乘子法结合深度
强化学习算法的模型驱动学习框架. 该框架区别于数据驱动框架, 能够根据具体问题进行一对一 …

Federated learning for intelligent transmission with space-air-ground integrated network (SAGIN) toward 6G

F Tang, C Wen, X Chen, N Kato - IEEE Network, 2022 - ieeexplore.ieee.org
The future intelligent devices requires ultra-low communication delay and high QoS
requirement for the following beyond-5G network. Space-air-ground Integrated Network …

Reinforcement learning-based energy-efficient data access for airborne users in civil aircrafts-enabled SAGIN

Q Chen, W Meng, S Han, C Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Airborne users are always dreaming of enjoying a good Internet access experience while in
the air. However, due to long propagation delay and limited network coverage, the existing …

基于上下文学习的电力物联网接入控制方法

周振宇, 贾泽晗, 廖海君, 赵雄文, 张磊 - 通信学报, 2021 - infocomm-journal.com
针对6G 时代电力物联网海量终端接入冲突严重, 队列积压大, 能量效率低等问题,
提出了一种基于上下文学习的接入控制算法. 所提算法基于强化学习和快速上行链路授权技术 …

Joint Scheduling of eMBB and URLLC Traffic in Space-Air-Ground Integrated Networks

J Zhang - Proceedings of the 2023 7th International Conference …, 2023 - dl.acm.org
In order to maximize network performance, we use the Deep Reinforcement Learning (DRL)
approach in this research to dynamically arrange flexible transmission intervals at the time …

Distributed deep reinforcement learning assisted resource allocation algorithm for space-air-ground integrated networks

P Zhang, Y Li, N Kumar, N Chen… - … on Network and …, 2022 - ieeexplore.ieee.org
To realize the Interconnection of Everything (IoE) in the 6G vision, the space-based, air-
based, and ground-based networks have shown a trend of integration. Compared with the …

A Resource Allocation Algorithm for Space-Air-Ground Integrated Network Based on Deep Reinforcement Learning

X LIU, W MAO, Q YANG - 电子与信息学报, 2022 - jeit.ac.cn
Abstract The Space-Air-Ground Integrated Network (SAGIN) can effectively meet the
communication needs of various service types by improving the resource utilization of the …