Advanced Reinforcement Learning-Based Optimization Techniques for Wireless Access Networks

P Iturria Rivera - 2024 - ruor.uottawa.ca
Next-generation wireless networks have grown increasingly complex over the years due to
the continuous demand generated by newer services like Extended Reality (XR) …

A Collaborative Data-Driven Intelligence for Future Wireless Networks

R Ali, HS Kim - Data-Driven Intelligence in Wireless Networks, 2023 - taylorfrancis.com
Future wireless networks, such as IEEE 802.11 be (Wi-Fi 7), are vital to provide ubiquitous
ultra-reliable and low latency communication services with massively connected devices to …

A federated reinforcement learning framework for incumbent technologies in beyond 5G networks

R Ali, YB Zikria, S Garg, AK Bashir, MS Obaidat… - IEEE …, 2021 - ieeexplore.ieee.org
Incumbent wireless technologies for futuristic fifth generation (5G) and beyond 5G (B5G)
networks, such as IEEE 802.11 ax (WiFi), are vital to provide ubiquitous ultra-reliable and …

[PDF][PDF] Reinforcement Learning-based Methods for Wireless Access Optimization and Multi-Interface Connectivity (強化学習に基づく無線アクセス最適化とマルチ無線 …

ティーハーリーディン - ir.soken.ac.jp
Recently, 5G wireless networks introduced three new use cases: Enhanced Mobile
Broadband (eMBB) for high data rate transmissions, Ultra-Reliable Low Latency …

Cooperate or not Cooperate: Transfer Learning with Multi-Armed Bandit for Spatial Reuse in Wi-Fi

PE Iturria-Rivera, M Chenier… - … Machine Learning in …, 2024 - ieeexplore.ieee.org
The exponential increase in the demand for high-performance services such as streaming
video and gaming by wireless devices has posed several challenges for Wireless Local …

Machine Learning and Deep Reinforcement Learning in Wireless Networks and Communication Applications

O Prakash, P Pattanayak, A Rai, K Cengiz - Paradigms of Smart and …, 2023 - Springer
Wireless networks and communication of the future will have to manage an ever-increasing
density of mobile users using a wide range of services and apps, as well as a surge in …

Reinforcement learning meets wireless networks: A layering perspective

Y Chen, Y Liu, M Zeng, U Saleem, Z Lu… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Driven by the soaring traffic demand and the growing diversity of mobile services, wireless
networks are evolving to be increasingly dense and heterogeneous. Accordingly, in such …

A federated reinforcement learning framework for link activation in multi-link Wi-Fi networks

R Ali, B Bellalta - … IEEE International Black Sea Conference on …, 2023 - ieeexplore.ieee.org
Next-generation Wi-Fi networks are looking forward to introducing new features like multi-
link operation (MLO) to both achieve higher throughput and lower latency. However, given …

Machine learning-enabled radio resource management for next-generation wireless networks

M Elsayed - 2021 - ruor.uottawa.ca
A new era of wireless networks is evolving, thanks to the significant advances in
communications and networking technologies. In parallel, wireless services are witnessing a …

[PDF][PDF] Reinforcement Learning-based Methods for Wireless Access Optimization and Multi-Interface Connectivity

DTH Ly - 2022 - ir.soken.ac.jp
Recently, 5G wireless networks introduced three new use cases: Enhanced Mobile
Broadband (eMBB) for high data rate transmissions, Ultra-Reliable Low Latency …