17 citations · 28 across the 11 of their papers we have counts for
4 papers · 1 filter
AE-DENet: Enhancement for Deep Learning-based Channel Estimation in OFDM Systems
Ephrem Fola, Yang Luo, Chunbo Luo
Deep learning (DL)-based methods have demonstrated remarkable achievements in addressing orthogonal frequency division multiplexing (OFDM) channel estimation challenges. However, e…
Intelligent Reflecting Surfaces vs. Full-Duplex Relays: A Comparison in the Air
Qian Ding, Jie Yang, Yang Luo +1
This letter aims to provide a fundamental analytical comparison for the two major types of relaying methods: intelligent reflecting surfaces and full-duplex relays, particularly fo…
Deep Learning Based Automatic Modulation Recognition: Models, Datasets, and Challenges
Fuxin Zhang, Chunbo Luo, Jialang Xu +2
Automatic modulation recognition (AMR) detects the modulation scheme of the received signals for further signal processing without needing prior information, and provides the essen…
An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation
Fuxin Zhang, Chunbo Luo, Jialang Xu +1
Automatic modulation recognition (AMR) is a promising technology for intelligent communication receivers to detect signal modulation schemes. Recently, the emerging deep learning (…