Applying deep reinforcement learning to improve throughput and reduce collision rate in IEEE 802.11 networks
Abstract The effectiveness of Wi-Fi networks is greatly influenced by the optimization of
contention window (CW) parameters. Unfortunately, the conventional approach employed …
contention window (CW) parameters. Unfortunately, the conventional approach employed …
Intelligent wireless networks: challenges and future research topics
M Abusubaih - Journal of Network and Systems Management, 2022 - Springer
Recently, artificial intelligence (AI) has become a primary tool of serving science and
humanity in all fields. This is due to the significant development in computing. The use of AI …
humanity in all fields. This is due to the significant development in computing. The use of AI …
Value is king: the mecforge deep reinforcement learning solution for resource management in 5g and beyond
F Poltronieri, C Stefanelli, N Suri… - Journal of Network and …, 2022 - Springer
Multi-access edge computing (MEC) is a key enabler to fulfill the promises of a new
generation of immersive and low-latency services in 5G and Beyond networks. MEC …
generation of immersive and low-latency services in 5G and Beyond networks. MEC …
Machine learning for performance prediction of channel bonding in next-generation IEEE 802.11 WLANs
With the advent of Artificial Intelligence (AI)-empowered communications, industry,
academia, and standardization organizations are progressing on the definition of …
academia, and standardization organizations are progressing on the definition of …
Analysis and evaluation of synchronous and asynchronous FLchain
Motivated by the heterogeneous nature of devices participating in large-scale federated
learning (FL) optimization, we focus on an asynchronous server-less FL solution …
learning (FL) optimization, we focus on an asynchronous server-less FL solution …
[PDF][PDF] Blockchain-enabled server-less federated learning
Motivated by the heterogeneous nature of devices participating in large-scale Federated
Learning (FL) optimization, we focus on an asynchronous server-less FL solution …
Learning (FL) optimization, we focus on an asynchronous server-less FL solution …
EAPS: Edge-assisted predictive sleep scheduling for 802.11 IoT stations
J Sheth, C Miremadi, A Dezfouli… - IEEE Systems …, 2021 - ieeexplore.ieee.org
The broad deployment of 802.11 (aka Wi-Fi) access points and the significant energy-
efficiency improvement of 802.11 transceivers have resulted in increasing interest in …
efficiency improvement of 802.11 transceivers have resulted in increasing interest in …
6G‐edge support of Internet of Autonomous Vehicles: A survey
H Ibn‐Khedher, M Laroui, M Alfaqawi… - Transactions on …, 2024 - Wiley Online Library
With the commercial deployment of 5G mobile communication systems, 6G is proposed to
meet the needs of new use cases including connected and autonomous vehicles (CAVs). In …
meet the needs of new use cases including connected and autonomous vehicles (CAVs). In …
Holistic Network Virtualization and Pervasive Network Intelligence for 6G
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …