2 papers
eess.SP2019
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks
Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen +3
In this paper, we propose novel approaches using state-of-the-art machine learning techniques, aiming at predicting energy demand for electric vehicle (EV) networks. These methods…
cs.IT2018
Amplitude Quantization for Type-2 Codebook Based CSI Feedback in New Radio System
Honglei Miao, Markus D. Mueck, Michael Faerber
In 3GPP new radio system, two types of codebook, namely Type-1 and Type-2 codebook, have been standardized for the channel state information (CSI) feedback in the support of advanc…