A review and prospects of operational frequency selecting techniques for HF radio communication
J Wang, Y Shi, C Yang, F Feng - Advances in Space Research, 2022 - Elsevier
High frequency (HF) radio communication is experiencing a renaissance worldwide,
especially in the military field. As a critical research spot of HF communication, the …
especially in the military field. As a critical research spot of HF communication, the …
Cognitive radars: On the road to reality: Progress thus far and possibilities for the future
This article describes some key ideas and applications of cognitive radars, highlighting the
limits and the path forward. Cognitive radars are systems based on the perception-action …
limits and the path forward. Cognitive radars are systems based on the perception-action …
Dynamic spectrum management via machine learning: State of the art, taxonomy, challenges, and open research issues
Dynamic spectrum management (DSM) plays an increasingly important role in wireless
communication networks for improving spectral efficiency. Conventionally, DSM is realized …
communication networks for improving spectral efficiency. Conventionally, DSM is realized …
Resource sharing and task offloading in IoT fog computing: A contract-learning approach
With the rapid development of smart devices and compute-intensive applications, fog
computing has emerged as a promising solution to accommodate the ever-increasing …
computing has emerged as a promising solution to accommodate the ever-increasing …
Decentralized adaptive spectrum learning in wireless iot networks based on channel quality information
In the Internet of Things (IoT) context such as low power wide area network (LPWAN), it is
essential to reduce the packet losses, eg, to save energy. Decentralized artificial intelligence …
essential to reduce the packet losses, eg, to save energy. Decentralized artificial intelligence …
Improvement of the LPWAN AMI backhaul's latency thanks to reinforcement learning algorithms
Low power wide area networks (LPWANs) have been recently deployed for long-range
machine-to-machine (M2M) communications. These networks have been proposed for many …
machine-to-machine (M2M) communications. These networks have been proposed for many …
A survey on intelligence-endogenous network: Architecture and technologies for future 6G
L Li - Intelligent and Converged Networks, 2023 - ieeexplore.ieee.org
With the maturity of 5G technology and global commercialization, scholars in institutions and
industrial circles began to research 6G technology. An important innovation of 6G …
industrial circles began to research 6G technology. An important innovation of 6G …
High frequency communication network with diversity: System structure and key enabling techniques
K Xu, B Jiang, Z Su, S Wang, M Guo… - China …, 2018 - ieeexplore.ieee.org
High frequency sky wave communication suffers from poor performance including poor link
quality and low link success rate. To enhance performance, diversity technology is proposed …
quality and low link success rate. To enhance performance, diversity technology is proposed …
Unmanned-Aerial-Vehicle Online Trajectory Planning Using Confidence Bounds of Chance-Constrained Geofences
B Du, J Chen - Journal of Guidance, Control, and Dynamics, 2025 - arc.aiaa.org
This paper proposes an online algorithmic framework for solving the problem of unmanned-
aerial-vehicle (UAV) trajectory planning while avoiding partially unknown geofences under …
aerial-vehicle (UAV) trajectory planning while avoiding partially unknown geofences under …
Machine Learning–Based Adaptive Modulation and Coding Design
L Zhang, Z Wu - Machine Learning for Future Wireless …, 2020 - Wiley Online Library
This chapter applies machine learning (ML) techniques to adaptive modulation and coding
(AMC)‐aided wireless systems to allow them to adapt to the variations of channels. It …
(AMC)‐aided wireless systems to allow them to adapt to the variations of channels. It …