20 citations · 54 across the 21 of their papers we have counts for
9 papers · 1 filter
Few-Shot Specific Emitter Identification via Hybrid Data Augmentation and Deep Metric Learning
Cheng Wang, Xue Fu, Yu Wang +4
Specific emitter identification (SEI) is a potential physical layer authentication technology, which is one of the most critical complements of upper layer authentication. Radio fr…
Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning
Zeyang Yang, Xue Fu, Guan Gui +4
Rogue emitter detection (RED) is a crucial technique to maintain secure internet of things applications. Existing deep learning-based RED methods have been proposed under the frien…
Semi-Supervised Specific Emitter Identification Method Using Metric-Adversarial Training
Xue Fu, Yang Peng, Yuchao Liu +4
Specific emitter identification (SEI) plays an increasingly crucial and potential role in both military and civilian scenarios. It refers to a process to discriminate individual em…
A Real-World Radio Frequency Signal Dataset Based on LTE System and Variable Channels
Shupeng Zhang, Yibin Zhang, Xixi Zhang +5
Radio Frequency Fingerprint (RFF) identification on account of deep learning has the potential to enhance the security performance of wireless networks. Recently, several RFF datas…
A Novel Channel Identification Architecture for mmWave Systems Based on Eigen Features
Yibin Zhang, Jinlong Sun, Guan Gui +2
Millimeter wave (mmWave) communication technique has been developed rapidly because of many advantages of high speed, large bandwidth, and ultra-low delay. However, mmWave communic…
On Deep Learning for Radio Resource Management in A Non-stationary Radio Environment
Suren Sritharan, Harshana Weligampola, Haris Gacanin
This paper studies practical limitations of learning methods for resource management in non-stationary radio environment. We propose two learning models carefully designed to suppo…
Wireless 2.0: Towards an Intelligent Radio Environment Empowered by Reconfigurable Meta-Surfaces and Artificial Intelligence
Haris Gacanin, Marco Di Renzo
We introduce "Wireless 2.0": The future generation of wireless communication networks, where the radio environment becomes controllable, programmable, and intelligent by leveraging…
Performance Analysis of OFDM with Peak Cancellation Under EVM and ACLR Restrictions
Tomoya Kageyama, Osamu Muta, Haris Gacanin
This paper presents performance analysis of an adaptive peak cancellation method to reduce the high peak-toaverage power ratio (PAPR) for OFDM systems, while keeping the out-of-ban…
Performance Evaluation of Multi-hop Relaying over Non-Gaussian PLC Channels
Khaled M. Rabie, Bamidele Adebisi, Haris Gacanin +2
Relaying over power line communication (PLC) channels can considerably enhance the performance and reliability of PLC systems. This paper is dedicated to study and analyze the ener…