Low-power Communication and Control Joint Optimization for Service Continuity Assurance in Aerial-Ground Integrated Networks
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 …
deployment of Aerial Base Stations (ABSs) to provide on-demand coverage and high-quality …
Service function chain planning with resource balancing in space-air-ground integrated networks
Space-air-ground integrated network (SAGIN) brings great potentials to extend the terrestrial
networks and satisfy the diverse service demands from many emerging applications. The …
networks and satisfy the diverse service demands from many emerging applications. The …
DRL-G: SFC Deployment Algorithm Based on Deep Reinforcement Learning in Space–Air–Ground Integrated Network
X Feng, M He, L Zhuang, Y Song, R Peng - 2023 - researchsquare.com
The space-air-ground integrated network (SAGIN) is formed by the fusion of ground and
aircraft networks. It overcomes the limitations in communications that cannot cover the whole …
aircraft networks. It overcomes the limitations in communications that cannot cover the whole …
Reinforcement learning based resource allocation for coverage continuity in high dynamic UAV communication networks
Unmanned aerial vehicles mounted aerial base stations (ABSs) are capable of providing on-
demand coverage in next-generation mobile communication system. However, resource …
demand coverage in next-generation mobile communication system. However, resource …
A review on AI-driven aerial access networks: Challenges and open research issues
Aerial access networks (AANs) consisting of low altitude platforms (LAPs) and high altitude
platforms (HAPs) have been considered as emerging wireless networking technologies to …
platforms (HAPs) have been considered as emerging wireless networking technologies to …
Reinforcement learning-based energy-efficient data access for airborne users in civil aircrafts-enabled SAGIN
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 …
the air. However, due to long propagation delay and limited network coverage, the existing …
Joint UAV Movement Control and Load Balancing Based on Indirect Control in Air-Ground-Integrated Networks
C Huang, F Wang, W Xu - IEEE Wireless Communications …, 2024 - ieeexplore.ieee.org
Air–ground-integrated networks play a vital role in seamless coverage. The irregular
topologies and dynamic loads require a comprehensive cooperation between terrestrial …
topologies and dynamic loads require a comprehensive cooperation between terrestrial …
Distributed deep reinforcement learning assisted resource allocation algorithm for space-air-ground integrated networks
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 …
based, and ground-based networks have shown a trend of integration. Compared with the …
Resource Allocation in High Dynamic Multi-UAV Networks for Coverage Continuity: A Reinforcement Learning Approach
In next-generation mobile communication system, unmanned aerial vehicles mounted aerial
base stations (ABSs) are capable of providing on-demand coverage. However, resource …
base stations (ABSs) are capable of providing on-demand coverage. However, resource …
Maximizing throughput of aerial base stations via resources-based multi-agent proximal policy optimization: A deep reinforcement learning approach
Fifth-generation (5G) networks use millimeter-wave (mmWave) technology to process high-
speed and capacity data services. However, wireless communication losses occur due to …
speed and capacity data services. However, wireless communication losses occur due to …