A tutorial on environment-aware communications via channel knowledge map for 6G

Y Zeng, J Chen, J Xu, D Wu, X Xu, S **… - … surveys & tutorials, 2024 - ieeexplore.ieee.org
Sixth-generation (6G) mobile communication networks are expected to have dense
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …

Accessing from the sky: A tutorial on UAV communications for 5G and beyond

Y Zeng, Q Wu, R Zhang - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have found numerous applications and are expected to
bring fertile business opportunities in the next decade. Among various enabling …

Cooperative multiagent deep reinforcement learning for reliable surveillance via autonomous multi-UAV control

WJ Yun, S Park, J Kim, MJ Shin, S Jung… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
CCTV-based surveillance using unmanned aerial vehicles (UAVs) is considered a key
technology for security in smart city environments. This article creates a case where the …

A tutorial on UAVs for wireless networks: Applications, challenges, and open problems

M Mozaffari, W Saad, M Bennis… - … surveys & tutorials, 2019 - ieeexplore.ieee.org
The use of flying platforms such as unmanned aerial vehicles (UAVs), popularly known as
drones, is rapidly growing. In particular, with their inherent attributes such as mobility …

A review of AI-enabled routing protocols for UAV networks: Trends, challenges, and future outlook

A Rovira-Sugranes, A Razi, F Afghah, J Chakareski - Ad Hoc Networks, 2022 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs), as a recently emerging technology, enabled a
new breed of unprecedented applications in different domains. This technology's ongoing …

Deep learning for intelligent wireless networks: A comprehensive survey

Q Mao, F Hu, Q Hao - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
As a promising machine learning tool to handle the accurate pattern recognition from
complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …

Thirty years of machine learning: The road to Pareto-optimal wireless networks

J Wang, C Jiang, H Zhang, Y Ren… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

A survey on machine-learning techniques for UAV-based communications

PS Bithas, ET Michailidis, N Nomikos, D Vouyioukas… - Sensors, 2019 - mdpi.com
Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless
communication networks. Their adoption in various communication-based applications is …

[LLIBRE][B] Foundations of MIMO communication

RW Heath Jr, A Lozano - 2018 - books.google.com
Understand the fundamentals of wireless and MIMO communication with this accessible and
comprehensive text. Viewing the subject through an information theory lens, but also …

Cellular-enabled UAV communication: A connectivity-constrained trajectory optimization perspective

S Zhang, Y Zeng, R Zhang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Integrating the unmanned aerial vehicles (UAVs) into the cellular network is envisioned to
be a promising technology to significantly enhance the communication performance of both …