A survey on over-the-air computation
Communication and computation are often viewed as separate tasks. This approach is very
effective from the perspective of engineering as isolated optimizations can be performed …
effective from the perspective of engineering as isolated optimizations can be performed …
Overview of deep learning-based CSI feedback in massive MIMO systems
Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
Training Machine Learning models at the Edge: A Survey
Edge Computing (EC) has gained significant traction in recent years, promising enhanced
efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus …
efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus …
A Survey of Federated Learning for mmWave Massive MIMO
VA Nugroho, BM Lee - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Millimeter wave massive multi input multi output (mmWave m-MIMO) holds immense
potential for beyond 5G networks, however its practical implementation faces hurdles in …
potential for beyond 5G networks, however its practical implementation faces hurdles in …
Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing
Mobile sensing appears as a promising solution for health inference problem (eg, influenza-
like symptom recognition) by leveraging diverse smart sensors to capture fine-grained …
like symptom recognition) by leveraging diverse smart sensors to capture fine-grained …