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Evolution of non-terrestrial networks from 5G to 6G: A survey
Non-terrestrial networks (NTNs) traditionally have certain limited applications. However, the
recent technological advancements and manufacturing cost reduction opened up myriad …
recent technological advancements and manufacturing cost reduction opened up myriad …
What will the future of UAV cellular communications be? A flight from 5G to 6G
What will the future of UAV cellular communications be? In this tutorial article, we address
such a compelling yet difficult question by embarking on a journey from 5G to 6G and …
such a compelling yet difficult question by embarking on a journey from 5G to 6G and …
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 …
Mobility management for cellular-connected UAVs: Model-based versus learning-based approaches for service availability
Mobility management for terrestrial users is mostly concerned with avoiding radio link failure
for the edge users where the cell boundaries are defined. The problem becomes interesting …
for the edge users where the cell boundaries are defined. The problem becomes interesting …
Machine learning techniques for non-terrestrial networks
Traditionally, non-terrestrial networks (NTNs) are used for a limited set of applications, such
as TV broadcasting and communication support during disaster relief. Nevertheless, due to …
as TV broadcasting and communication support during disaster relief. Nevertheless, due to …
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 …
Intelligent trajectory design for secure full-duplex MIMO-UAV relaying against active eavesdroppers: A model-free reinforcement learning approach
Unmanned aerial vehicle (UAV) assisted wireless communication has recently been
recognized as an inevitably promising component of future wireless networks. Particularly …
recognized as an inevitably promising component of future wireless networks. Particularly …
[HTML][HTML] Machine learning-based approaches for handover decision of cellular-connected drones in future networks: A comprehensive review
The integration of cellular connectivity in drones signifies a crucial leap forward, offering the
potential to revolutionize multiple industries. This comprehensive review examines the latest …
potential to revolutionize multiple industries. This comprehensive review examines the latest …
Ensuring reliable connectivity to cellular-connected UAVs with up-tilted antennas and interference coordination
To integrate unmanned aerial vehicles (UAVs) in future large-scale deployments, a new
wireless communication paradigm, namely, the cellular-connected UAV has recently …
wireless communication paradigm, namely, the cellular-connected UAV has recently …
A double-beam soft handover scheme and its performance analysis for mmWave UAV communications in windy scenarios
Unmanned aerial vehicles (UAVs) acting as users to access the cellular network over the
millimeter wave (mmWave) spectrum form a promising solution to guarantee high data rate …
millimeter wave (mmWave) spectrum form a promising solution to guarantee high data rate …