With outstanding features, Machine Learning (ML) has been the backbone of numerous applications in wireless networks. However, the conventional ML approaches have been …
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 …
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 …
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 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 …
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 …
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 …
Deep learning techniques can classify spectrum phenomena (eg, waveform modulation) with accuracy levels that were once thought impossible. Although we have recently seen …
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 …