Transfer learning for wireless networks: A comprehensive survey

CT Nguyen, N Van Huynh, NH Chu… - Proceedings of the …, 2022 - ieeexplore.ieee.org
With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …

Transfer learning for future wireless networks: A comprehensive survey

CT Nguyen, N Van Huynh, NH Chu, YM Saputra… - arXiv preprint arXiv …, 2021 - arxiv.org
With outstanding features, Machine Learning (ML) has been the backbone of numerous
applications in wireless networks. However, the conventional ML approaches have been …

A review of machine learning and tinyml in healthcare

V Tsoukas, E Boumpa, G Giannakas… - Proceedings of the 25th …, 2021 - dl.acm.org
Healthcare is the field that can benefit from the large amount of raw data generated from
portable and wearable devices. This data must be sent to the Cloud for processing due to …

Deep learning at the physical layer: System challenges and applications to 5G and beyond

F Restuccia, T Melodia - IEEE Communications Magazine, 2020 - ieeexplore.ieee.org
The unprecedented requirements of IoT have made fine-grained optimization of spectrum
resources an urgent necessity. Thus, designing techniques able to extract knowledge from …

[HTML][HTML] Realizing self-adaptive systems via online reinforcement learning and feature-model-guided exploration

A Metzger, C Quinton, ZÁ Mann, L Baresi, K Pohl - Computing, 2024 - Springer
A self-adaptive system can automatically maintain its quality requirements in the presence of
dynamic environment changes. Developing a self-adaptive system may be difficult due to …

Arena: A 64-antenna SDR-based ceiling grid testing platform for sub-6 GHz 5G-and-Beyond radio spectrum research

L Bertizzolo, L Bonati, E Demirors, A Al-Shawabka… - Computer Networks, 2020 - Elsevier
Arena is an open-access wireless testing platform based on a grid of antennas mounted on
the ceiling of a large office-space environment. Each antenna is connected to programmable …

Efficient instance reuse approach for service function chain placement in mobile edge computing

S Zhang, W Jia, Z Tang, J Lou, W Zhao - Computer Networks, 2022 - Elsevier
The combination of mobile edge computing and network function virtualization has led to the
emergence of Virtualized Network Function (VNF) in a broader range of application …

DeepBeam: Deep waveform learning for coordination-free beam management in mmWave networks

M Polese, F Restuccia, T Melodia - Proceedings of the Twenty-second …, 2021 - dl.acm.org
Highly directional millimeter wave (mmWave) radios need to perform beam management to
establish and maintain reliable links. To achieve this objective, existing solutions mostly rely …

Generalized wireless adversarial deep learning

F Restuccia, S D'Oro, A Al-Shawabka… - Proceedings of the 2nd …, 2020 - dl.acm.org
Deep learning techniques can classify spectrum phenomena (eg, waveform modulation)
with accuracy levels that were once thought impossible. Although we have recently seen …

Multipath TCP meets transfer learning: A novel edge-based learning for industrial IoT

SR Pokhrel, L Pan, N Kumar, R Doss… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
We consider a fifth-generation (5G)-empowered future Industrial IoT (IIoT) networking
problem where IIoT machines are capable of communicating and sharing their data …