A deep reinforcement learning-based dynamic traffic offloading in space-air-ground integrated networks (SAGIN)
Space-Air-Ground Integrated Networks (SAGIN) is considered as the key structure of the
next generation network. The space satellites and air nodes are the potential candidates to …
next generation network. The space satellites and air nodes are the potential candidates to …
FeSAC: Federated Learning-Based Soft Actor-Critic Traffic Offloading in Space-Air-Ground Integrated Network
With the increase of intelligent devices leading to increasing demand for traffic, traffic
offloading has become a challenging problem. The space-air-ground integrated network …
offloading has become a challenging problem. The space-air-ground integrated network …
A Low-latency Access Control Algorithm based on Terminal Resource Scheduling for New Electric Power Services
C Ye, H Li, L Sun, Z Lei, Z Qin… - 2022 IEEE 5th Advanced …, 2022 - ieeexplore.ieee.org
In the new power business, a large number of real-time communication and low-latency
services between terminal equipment data and application information data have emerged …
services between terminal equipment data and application information data have emerged …
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks
Y Qin, Y Yang, F Tang, X Yao, M Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Space-Air-Ground Integrated Network (SAGIN) plays a pivotal role as a comprehensive
foundational network communication infrastructure, presenting opportunities for highly …
foundational network communication infrastructure, presenting opportunities for highly …
Demand-Driven Task Scheduling and Resource Allocation in Space-Air-Ground Integrated Network: A Deep Reinforcement Learning Approach
K Fan, B Feng, X Zhang, Q Zhang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Space-air-ground integrated network (SAGIN) can support a wide variety of task scenarios
as a next-generation network. In this dynamic network, tasks with different characteristics …
as a next-generation network. In this dynamic network, tasks with different characteristics …
Joint network control and resource allocation for space-terrestrial integrated network through hierarchal deep actor-critic reinforcement learning
Conventional approaches to network control and resource allocation by allocating dedicated
spectrum resources and separate infrastructure for massive Internet of Things (IoT) network …
spectrum resources and separate infrastructure for massive Internet of Things (IoT) network …
Multi-server federated edge learning for low power consumption wireless resource allocation based on user QoE
T Zhou, X Li, C Pan, M Zhou… - Journal of Communications …, 2021 - ieeexplore.ieee.org
Federated edge learning (FEL) deploys a machine learning algorithm by using devices
distributed on the edge of a network, trains massive local data, uploads the local model to …
distributed on the edge of a network, trains massive local data, uploads the local model to …