24 Papers
4 Citations
Yang Peng is an academic researcher from Nanjing University of Posts and Telecommunications. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 4, co-authored 6 publications.
Chat about Author
Papers
Fast Beamforming Design via Deep Learning
TL;DR: This work proposes a deep learning based fast beamforming design method which separates the problem into power allocation and virtual uplink beamforming (VUB) design and designs a heuristic solution structure of the downlink beamforming through the virtual equivalent uplink channel based on optimum MMSE receiver.
288
UL-CSI Data Driven Deep Learning for Predicting DL-CSI in Cellular FDD Systems
TL;DR: It can be verified that the proposed ConvLSTM-net with proper hyper parameters outperforms the compared schemes at predicting DL-CSI according to UL- CSI in the cellular FDD systems, especially in the time domain.
Radio Frequency Fingerprint Identification Based on Slice Integration Cooperation and Heat Constellation Trace Figure
TL;DR: This work proposes a novel RFF identification method based on heat constellation trace figure (HCTF) and slice integration cooperation (SIC) and shows that this method can achieve higher accuracy than the existing RFF methods.
80
Dynamic User Grouping-Based NOMA Over Rayleigh Fading Channels
TL;DR: A dynamic user grouping method for classifying users is proposed and the performance between NOMA-2000 and PD-NOMA over Rayleigh fading channels is compared and results show that the PD-nOMA can always exhibit lower bit error rate (BER) than the NOMa-2000 under different signal-to-noise ratios.
Deep Learning Aided Method for Automatic Modulation Recognition
TL;DR: This paper proposes an effective AMR algorithm based on deep learning (DL) with capabilities of automatically extracting representative and effective features and shows that DL-AMR is much better than traditional algorithms under two fading channels.