Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning

S Szott, K Kosek-Szott, P Gawłowicz… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
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 …

Adaptive preamble embedding with MIMO to support user-defined functionalities in WLANs

Z Zhang, H Rahbari, M Krunz - IEEE Transactions on Mobile …, 2021 - ieeexplore.ieee.org
As the Wi-Fi technology transitions into its sixth generation (Wi-Fi 6), there is a growing
consensus on the need to support security and coordination functions at the Physical (PHY) …

Time-variant Resource Allocation in Multi-Ap802. 11be Network: A DDPG-based Approach

Z Du, Y Liu, Y Yu, L Cuthbert - 2023 8th International …, 2023 - ieeexplore.ieee.org
With the development of the 802.11 be standard which incorporates Orthogonal Frequency
Division Multiple Access (OFDMA), there will be more real-world scenarios which have more …

Systems and methods for enhancing mesh over Wi-Fi 6E

MS Siraj, Q Zhou, A Beaudin - US Patent 11,758,470, 2023 - Google Patents
Abstract Systems and methods are provided for multiple basic service set identifier
(MBSSID) beaconing (from an access point (AP) standpoint) and MBSSID/virtual AP (VAP) …

[PDF][PDF] Echoing the Future: On-Device Machine Learning in Next-Generation Networks-A Comprehensive Survey

HB Pasandi, FB Pasandi, F Parastar, A Moradbeikie… - researchgate.net
On-device Machine Learning (on-deviceML) is the concept of bringing Machine Learning
models to the constraint device itself and making it smarter. Tiny Machine Learning (TinyML) …

[图书][B] Device-Free WiFi Sensing for Human Activity Recognition

Z Shi - 2021 - search.proquest.com
Human activity recognition (HAR) using WiFi signals (WiFi-based HAR) has drawn
considerable interest from the research community. In contrast to traditional device-based …