Aerospace integrated networks innovation for empowering 6G: A survey and future challenges
The ever-increasing demand for ubiquitous and differentiated services at anytime and
anywhere emphasizes the necessity of aerospace integrated networks (AINs) which consist …
anywhere emphasizes the necessity of aerospace integrated networks (AINs) which consist …
Reinforcement learning in the sky: A survey on enabling intelligence in ntn-based communications
Non terrestrial networks (NTN) involving 'in the sky'objects such as low-earth orbit satellites,
high altitude platform systems (HAPs) and Unmanned Aerial Vehicles (UAVs) are expected …
high altitude platform systems (HAPs) and Unmanned Aerial Vehicles (UAVs) are expected …
Space-aerial-ground-sea integrated networks: Resource optimization and challenges in 6G
Abstract Space–air–ground–sea integrated (SAGSI) networks are envisioned to connect
satellite, aerial, ground, and sea networks to provide connectivity everywhere and all the …
satellite, aerial, ground, and sea networks to provide connectivity everywhere and all the …
A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches
Wireless communication networks have been witnessing unprecedented demand due to the
increasing number of connected devices and emerging bandwidth-hungry applications …
increasing number of connected devices and emerging bandwidth-hungry applications …
Reinforcement learning for energy-efficient trajectory design of UAVs
Integrating unmanned aerial vehicles (UAVs) as aerial base stations (BSs) into terrestrial
cellular networks has emerged as an effective solution to provide coverage and complement …
cellular networks has emerged as an effective solution to provide coverage and complement …
Joint Rate and Coverage Optimization for the THz/RF Multi-band Communications of Space-air-ground Integrated Network in 6G
Space-air-ground integrated networks (SAGIN) incorporating multi-band terahertz (THz) and
radio frequency (RF) communication have gained increasing attention in the 6G era …
radio frequency (RF) communication have gained increasing attention in the 6G era …
HAPS-UAV-enabled heterogeneous networks: A deep reinforcement learning approach
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 …
platform station (HAPS) and low-altitude platform station (LAPS) has become essential …
[HTML][HTML] Federated Reinforcement Learning for Collaborative Intelligence in UAV-assisted C-V2X Communications
A Gupta, X Fernando - Drones, 2024 - mdpi.com
This paper applies federated reinforcement learning (FRL) in cellular vehicle-to-everything
(C-V2X) communication to enable vehicles to learn communication parameters in …
(C-V2X) communication to enable vehicles to learn communication parameters in …
Fairness-aware link optimization for space-terrestrial integrated networks: A reinforcement learning framework
The integration of space and air components considering satellites and unmanned aerial
vehicles (UAVs) into terrestrial networks in a space-terrestrial integrated network (STIN) has …
vehicles (UAVs) into terrestrial networks in a space-terrestrial integrated network (STIN) has …
Non-terrestrial networks with UAVs: A projection on flying ad-hoc networks
Non-terrestrial networks (NTNs) have recently attracted elevated levels of interest in large-
scale and ever-growing wireless communication networks through the utilization of flying …
scale and ever-growing wireless communication networks through the utilization of flying …