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 …
The emergence of wireless MAC protocols with multi-agent reinforcement learning
In this paper, we propose a new framework, exploiting the multi-agent deep deterministic
policy gradient (MADDPG) algorithm, to enable a base station (BS) and user equipment …
policy gradient (MADDPG) algorithm, to enable a base station (BS) and user equipment …
AI-generated network design: A diffusion model-based learning approach
The future networks pose intense demands for intelligent and customized designs to cope
with the surging network scale, dynamically time-varying environments, diverse user …
with the surging network scale, dynamically time-varying environments, diverse user …
LATTE: online MU-MIMO grouping for video streaming over commodity wifi
HB Pasandi, T Nadeem - Proceedings of the 19th Annual International …, 2021 - dl.acm.org
In this paper, we present LATTE, a novel framework that proposes MU-MIMO group
selection optimization for multi-user video streaming over IEEE 802.11 ac. Taking a cross …
selection optimization for multi-user video streaming over IEEE 802.11 ac. Taking a cross …
Learning generalized wireless MAC communication protocols via abstraction
To tackle the heterogeneous requirements of beyond 5G (B5G) and future 6G wireless
networks, conventional medium access control (MAC) procedures need to evolve to enable …
networks, conventional medium access control (MAC) procedures need to evolve to enable …
ClassyNet: Class-Aware Early Exit Neural Networks for Edge Devices
M Ayyat, T Nadeem, B Krawczyk - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Edge-based and IoT devices have seen phenomenal growth in recent years, driven by the
surge in demand for emerging applications that leverage machine learning models, such as …
surge in demand for emerging applications that leverage machine learning models, such as …
Towards a self-driving management system for the automated realization of intents
K Dzeparoska, N Beigi-Mohammadi… - IEEE …, 2021 - ieeexplore.ieee.org
Network management faces the interrelated challenges of increasing network complexity,
meeting sophisticated business requirements, and being subject to human oversight. Self …
meeting sophisticated business requirements, and being subject to human oversight. Self …
Location Privacy in B5G/6G: Systematization of Knowledge
HB Pasandi, F Parastar - arXiv preprint arXiv:2406.00359, 2024 - arxiv.org
As we transition into the era of B5G/6G networks, the promise of seamless, high-speed
connectivity brings unprecedented opportunities and challenges. Among the most critical …
connectivity brings unprecedented opportunities and challenges. Among the most critical …
Class-Aware Neural Networks for Efficient Intrusion Detection on Edge Devices
M Ayyat, T Nadeem, B Krawczyk - 2023 20th Annual IEEE …, 2023 - ieeexplore.ieee.org
The exponential growth of IoT and edge devices has led to their widespread use across
various applications. However, the security of these devices remains a significant concern …
various applications. However, the security of these devices remains a significant concern …
Scalable joint learning of wireless multiple-access policies and their signaling
In this paper, we apply an multi-agent reinforcement learning (MARL) framework allowing
the base station (BS) and the user equipments (UEs) to jointly learn a channel access policy …
the base station (BS) and the user equipments (UEs) to jointly learn a channel access policy …