Adaptive ML-based frame length optimisation in enterprise SD-WLANs

E Coronado, A Thomas, R Riggio - Journal of Network and Systems …, 2020 - Springer
Abstract Software-Defined Networking (SDN) is gaining a lot of traction in wireless systems
with several practical implementations and numerous proposals being made. Despite …

aios: An intelligence layer for sd-wlans

E Coronado, A Thomas, S Bayhan… - NOMS 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Software-Defined Networking promises to deliver a more manageable network whose
behaviour could be easily changed using applications written in high-level declarative …

Machine-learning-based adaptive approach for frame-size optimization in wireless LAN environments

P Lin, T Lin - IEEE transactions on vehicular technology, 2009 - ieeexplore.ieee.org
The performance of IEEE 802.11 wireless local area networks (WLANs) is affected by the
channel conditions of wireless medium and the contention processes of wireless stations …

Combining software defined networks and machine learning to enable self organizing wlans

Á López-Raventós, F Wilhelmi… - … on Wireless and …, 2019 - ieeexplore.ieee.org
Next generation of wireless local area networks (WLANs) will operate in dense, chaotic and
highly dynamic scenarios that in a significant number of cases may result in a low user …

Frame size optimization using a machine learning approach in wlan downlink mu-mimo channel

L Kassa, J Deng, M Davis, J Cai - arXiv preprint arXiv:2209.09687, 2022 - arxiv.org
The IEEE 802.11 ac/n introduced frame aggregation technology to accommodate the
growing traffic demand and increase the performance of transmission efficiency and channel …

Hybrid control of contention window and frame aggregation for performance enhancement in multirate WLANs

M Adnan, EC Park - Mobile Information Systems, 2015 - Wiley Online Library
The IEEE 802.11 standard has been evolved to support multiple transmission rates in
wireless local area networks (WLANs) to cope with diverse channel conditions and to …

Joint mobility management and multicast rate adaptation in software–defined enterprise WLANs

E Coronado, R Riggio, J Villalón… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The ever-increasing demand for mobile content delivery and multimedia services is bringing
renewed interest in multicast communications in Wi-Fi based WLANs. Nevertheless …

Scope of machine learning applications for addressing the challenges in next‐generation wireless networks

RK Samanta, B Sadhukhan… - CAAI Transactions …, 2022 - Wiley Online Library
The convenience of availing quality services at affordable costs anytime and anywhere
makes mobile technology very popular among users. Due to this popularity, there has been …

A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges

J Xie, FR Yu, T Huang, R Xie, J Liu… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …

Throughput maximization based on optimized frame-aggregation levels for IEEE 802.11 WLANs

K Suzuki, S Yamazaki - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
To improve the throughput via frame aggregation (FA), the number of aggregate medium
access control service data unit (A-MSDU) and protocol data unit (A-MPDU) subframes must …