20 citations · 54 across the 21 of their papers we have counts for
21 papers
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…
Attention Mechanism Based Intelligent Channel Feedback for mmWave Massive MIMO Systems
Yibin Zhang, Jinlong Sun, Guan Gui +4
The potential advantages of intelligent wireless communications with millimeter wave (mmWave) and massive multiple-input multiple-output (MIMO) are based on the availability of ins…
Beamforming Analysis and Design for Wideband THz Reconfigurable Intelligent Surface Communications
Wencai Yan, Wanming Hao, Chongwen Huang +4
Reconfigurable intelligent surface (RIS)-aided terahertz (THz) communications have been regarded as a promising candidate for future 6G networks because of its ultra-wide bandwidth…
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…
Min-Max Latency Optimization for IRS-aided Cell-Free Mobile Edge Computing Systems
Nana Li, Wanming Hao, Fuhui Zhou +2
Mobile-edge computing (MEC) is expected to provide low-latency computation service for wireless devices (WDs). However, when WDs are located at cell edge or communication links bet…
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…
Parametric Channel Estimation for LoS Dominated Holographic Massive MIMO Systems
Mojtaba Ghermezcheshmeh, Vahid Jamali, Haris Gacanin +1
Holographic massive multiple-input multiple-output (MIMO), in which a spatially continuous surface is being used for signal transmission and reception, have emerged as a promising…
Designing Wireless Powered Networks assisted by Intelligent Reflecting Surfaces with Mechanical Tilt
Zoran Hadzi-Velkov, Slavche Pejoski, Nikola Zlatanov +1
In this paper, we propose a fairness-aware rate maximization scheme for a wireless powered communications network (WPCN) assisted by an intelligent reflecting surface (IRS). The pr…
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…
Codebook-Based Max-Min Energy-Efficient Resource Allocation for Uplink mmWave MIMO-NOMA Systems
Wanming Hao, Ming Zeng, Gangcan Sun +4
In this paper, we investigate the energy-efficient resource allocation problem in an uplink non-orthogonal multiple access (NOMA) millimeter wave system, where the fully-connected-…
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…
An Overview of Machine Learning Approaches in Wireless Mesh Networks
Samurdhi Karunaratne, Haris Gacanin
Wireless Mesh Networks (WMNs) have been extensively studied for nearly two decades as one of the most promising candidates expected to power the high bandwidth, high coverage wirel…
Decentralized Asynchronous Coded Caching in Fog-RAN
Wenlong Huang, Yanxiang Jiang, Mehdi Bennis +3
In this paper, we investigate asynchronous coded caching in fog radio access networks (F-RAN). To minimize the fronthaul load, the encoding set collapsing rule and encoding set par…
Autonomous Wireless Systems with Artificial Intelligence
Haris Gacanin
This paper discusses technology and opportunities to embrace artificial intelligence (AI) in the design of autonomous wireless systems. We aim to provide readers with motivation an…
Artificial Intelligence Paradigm for Customer Experience Management in Next-Generation Networks: Challenges and Perspectives
Haris Gacanin, Mark Wagner
With advancements of next-generation programmable networks a traditional rule-based decision-making may not be able to adapt effectively to changing network and customer requiremen…
Self-X Design of Wireless Networks: Exploiting Artificial Intelligence and Guided Learning
Erma Perenda, Samurdhi Karunaratne, Ramy Atawia +1
In this work, we develop a framework that jointly decides on the optimal location of wireless extenders and the channel configuration of extenders and access points (APs) in a Wire…
Artificial Intelligence Inspired Self-Deployment of Wireless Networks
Erma Perenda, Ramy Atawia, Haris Gacanin
In this paper, we propose a self-deployment approach for finding the optimal placement of extenders in which both the wireless back-haul and front-haul throughput of the extender a…