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 …
S He, S Xiong, Y Ou, J Zhang, J Wang… - IEEE Open Journal …, 2021 - ieeexplore.ieee.org
In recent years, with the rapid enhancement of computing power, deep learning methods have been widely applied in wireless networks and achieved impressive performance. To …
Next-generation mobile networks are expected to flaunt highly (if not fully) automated management. To achieve such a vision, Artificial Intelligence (AI) and Machine Learning …
As wireless standards evolve, more complex functionalities are introduced to address the increasing requirements in terms of throughput, latency, security, and efficiency. To unleash …
H Zhou, R Kannan, A Swami… - IEEE INFOCOM 2023 …, 2023 - ieeexplore.ieee.org
Predicting the throughput of WLAN deployments is a classic problem that occurs in the design of robust and high performance WLAN systems. However, due to the increasingly …
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 …
The exponential increase in Internet of Things (IoT) devices coupled with 6G pushing towards higher data rates and connected devices has sparked a surge in data …
The proliferation of the IEEE wireless local area network (WLAN), due to its flexibility, mobility, and support for billions of smart mobile devices, has gained widespread popularity …
Autonomous Fifth Generation (5G) and Beyond 5G (B5G) networks require modelling tools to predict the impact on the performance when new configurations and features are applied …