Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
[HTML][HTML] Resource allocation in multi-access edge computing for 5G-and-beyond networks
Innovative services with strict requirements are expected in the fifth generation (5G) of
mobile networks and beyond. For example, the Ultra-Reliable Low-Latency Communication …
mobile networks and beyond. For example, the Ultra-Reliable Low-Latency Communication …
V2X offloading and resource allocation in SDN-assisted MEC-based vehicular networks
H Zhang, Z Wang, K Liu - China Communications, 2020 - ieeexplore.ieee.org
As an important application scenario of 5G, the vehicular network has a huge amount of
computing data, which brings challenges to the scarce network resources. Mobile edge …
computing data, which brings challenges to the scarce network resources. Mobile edge …
Energy-efficient secure short-packet transmission in NOMA-assisted mMTC networks with relaying
Massive Machine-Type Communication (mMTC) is proposed by ITU to provide a large scale
of connectivity services for billions of machine-type communications devices (MTCDs) via …
of connectivity services for billions of machine-type communications devices (MTCDs) via …
Collaborative spatial reuse in wireless networks via selfish multi-armed bandits
Next-generation wireless deployments are characterized by being dense and
uncoordinated, which often leads to inefficient use of resources and poor performance. To …
uncoordinated, which often leads to inefficient use of resources and poor performance. To …
Decentralized resource allocation-based multiagent deep learning in vehicular network
AD Mafuta, BTJ Maharaj, AS Alfa - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
Resource allocation (RA) has a significant impact on vehicular network performance. With
high mobility, RA is more challenging, as the number of vehicles in close proximity changes …
high mobility, RA is more challenging, as the number of vehicles in close proximity changes …
An effective spectrum handoff based on reinforcement learning for target channel selection in the industrial Internet of Things
The overcrowding of the wireless space has triggered a strict competition for scare network
resources. Therefore, there is a need for a dynamic spectrum access (DSA) technique that …
resources. Therefore, there is a need for a dynamic spectrum access (DSA) technique that …
Interference mitigation for coexisting wireless body area networks: Distributed learning solutions
When multiple wireless body area networks (WBANs) exist in close proximity to each other,
the inter-user interference considerably degrades the signal to interference plus noise ratio …
the inter-user interference considerably degrades the signal to interference plus noise ratio …
Learning to bond in dense WLANs with random traffic demands
Y Luo, KW Chin - IEEE Transactions on Vehicular Technology, 2020 - ieeexplore.ieee.org
The Access Points (APs) in a Wireless Local Area Network (WLAN) must be assigned one or
more channels to meet traffic demands from users. To date, prior works on channel …
more channels to meet traffic demands from users. To date, prior works on channel …
[PDF][PDF] 车联网中一种基于软件定义网络与移动边缘计算的卸载策略
张海波， 荆昆仑， 刘开健， 贺晓帆 - 电子与信息学报, 2020 - jeit.ac.cn
车联网中一种基于软件定义网络与移动边缘计算的卸载策略An Offloading Mechanism Based on
Software Defined Page 1 车联网中一种基于软件定义网络与移动边缘计算的卸载策略 张海波① …
Software Defined Page 1 车联网中一种基于软件定义网络与移动边缘计算的卸载策略 张海波① …