Machine learning-based user scheduling in integrated satellite-haps-ground networks

H Dahrouj, S Liu, MS Alouini - IEEE Network, 2023 - ieeexplore.ieee.org
Integrated space-air-ground networks promise to offer a valuable solution space for
empowering the sixth generation of communication networks (6G), particularly in the context …

A vision and framework for the high altitude platform station (HAPS) networks of the future

GK Kurt, MG Khoshkholgh, S Alfattani… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
A High Altitude Platform Station (HAPS) is a network node that operates in the stratosphere
at an of altitude around 20 km and is instrumental for providing communication services …

HAPS-UAV-enabled heterogeneous networks: A deep reinforcement learning approach

AH Arani, P Hu, Y Zhu - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
The integrated use of non-terrestrial network (NTN) entities such as the high-altitude
platform station (HAPS) and low-altitude platform station (LAPS) has become essential …

Service-aware user association and resource allocation in integrated terrestrial and non-terrestrial networks: A genetic algorithm approach

DJ Birabwa, D Ramotsoela, N Ventura - IEEE Access, 2022 - ieeexplore.ieee.org
In 6G networks and beyond, multiple radio access networks (RANs), including; the satellite,
high altitude platforms, low altitude platforms, and the terrestrial network, will co-exist. These …

Resource Allocation for Space-Air-Ground Integrated Networks: A Comprehensive Review

H Liang, Z Yang, G Zhang, H Hou - Journal of Communications …, 2024 - ieeexplore.ieee.org
The space-air-ground integrated networks (SAGIN) has emerged as a critical paradigm to
address the growing demands for global connectivity and enhanced communication …

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 …

[HTML][HTML] Multi-agent deep reinforcement learning for user association and resource allocation in integrated terrestrial and non-terrestrial networks

DJ Birabwa, D Ramotsoela, N Ventura - Computer Networks, 2023 - Elsevier
Integrating the terrestrial network with non-terrestrial networks to provide radio access as
anticipated in the beyond 5G networks calls for efficient user association and resource …

Equitable 6G access service via cloud-enabled HAPS for optimizing hybrid air-ground networks

R Alghamdi, H Dahrouj, TY Al-Naffouri… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The evolvement of wireless communication services concurs with significant growth in data
traffic, thereby inflicting stringent requirements on terrestrial networks. This work invigorates …

Traffic prediction-based dynamic resource control strategy in HAPS-mounted MEC-assisted satellite communication systems

Y Kawamoto, M Takahashi, S Verma… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Satellite communication is increasingly essential and widely used, especially with the rapid
development of the Internet of Things (IoT) and networks beyond fifth-generation (B5G) …

[HTML][HTML] Computation and wireless resource management in 6G space-integrated-ground access networks

N Hui, Q Sun, L Tian, Y Wang, Y Zhou - Digital Communications and …, 2024 - Elsevier
Abstract In 6th Generation Mobile Networks (6G), the Space-Integrated-Ground (SIG) Radio
Access Network (RAN) promises seamless coverage and exceptionally high Quality of …