A5081984284- Optical Network Technologies
- Wireless Communication Networks Research
- Advanced Photonic Communication Systems
- Blind Source Separation Techniques
- Advanced Wireless Communication Techniques
- graph theory and CDMA systems
- Advanced MIMO Systems Optimization
- Advanced Wireless Communication Technologies
- Wireless Signal Modulation Classification
- Cognitive Radio Networks and Spectrum Sensing
- Power Line Communications and Noise
- PAPR reduction in OFDM
- Cooperative Communication and Network Coding
- Coding theory and cryptography
- Vehicular Ad Hoc Networks (VANETs)
- Antenna Design and Analysis
- IoT and Edge/Fog Computing
- Full-Duplex Wireless Communications
- Semiconductor Lasers and Optical Devices
- Millimeter-Wave Propagation and Modeling
- Opportunistic and Delay-Tolerant Networks
- Advanced Adaptive Filtering Techniques
- Energy Harvesting in Wireless Networks
- Photonic and Optical Devices
- Microwave Engineering and Waveguides
Université Polytechnique Hauts-de-France
2015-2025
Institut d'électronique de microélectronique et de nanotechnologie
2015-2024
Centre National de la Recherche Scientifique
2015-2024
Université de Lille
2015-2024
École Centrale de Lille
2015-2024
Institut Supérieur de l'Électronique et du Numérique
2019-2024
Institut National des Sciences Appliquées de Rennes
2017-2023
INSA Hauts-de-France
2017-2023
University of Bradford
2023
Opto Eletrônica (Brazil)
2022
5G technologies promise faster connections, lower latency, higher reliability, more capacity and wider coverage. We are looking to rely on these achieve Vehicle-to-Everything (V2X) communications, which increase the safety autonomy of vehicles in addition road safety, saving energy costs. The integration vehicular communication systems is subject many research. Nowadays, researchers address challenges such as automated intelligent networks, cloud edge data processing, network management,...
Modulation type is one of the most important characteristics used in signal waveform identification and classification. Spatial correlation a crucial factor for practical multiple-input multiple-output (MIMO) systems. This paper addresses problem blind digital modulation spatially-correlated MIMO The proposed algorithm verified using higher order statistical moments cumulants received signal. purpose to discriminate among different M-ary shift keying linear schemes without any priori...
The rapid development of information and wireless communication technologies together with the large increase in number end-users have made radio spectrum more crowded than ever. Besides, providing a stable reliable service is challenging, as electromagnetic environments are evolving becoming sophisticated. Accordingly, there an urgent need for intelligent systems that can improve efficiency quality to provide agile management network resources, so better meet needs future users....
The fifth-generation (5G) of cellular networks and beyond requires massive connectivity, high data rates, low latency. Millimeter-wave (mmWave) communications is a key 5G enabling technology to meet these requirements thanks its technical potentials that can be integrated with other enablers such as ultra-dense (UDNs) multiple-input-multiple-output (massive MIMO) systems. However, some challenges, which are mainly related specific characteristics mmWave propagation, must addressed. All the...
In this paper, a reconfigurable Multiple-Input Multiple-Output (MIMO) antenna array is presented for 5G portable devices. The proposed consists of four radiating elements and an Electromagnetic Band Gap (EBG) structure. Planar monopole are employed in the with Coplanar Waveguide Ports (CWPs). Each CWP grounded on one side to reflecting L-shaped structure that has effect improving antenna's directivity. It shown by inductively connecting Minkowski fractal 1 <sup...
Modulation type is one of the most important characteristics used in signal waveform identification. In this paper, an algorithm for automatic digital modulation recognition proposed. The proposed verified using higher-order statistical moments (HOM) continuous wavelet transform (CWT) as a features set. A multilayer feed-forward neural network trained with resilient backpropagation learning classifier. purpose to discriminate among different M-ary shift keying schemes and order without any...
Here, a new spectrum sensing method, called mean-to-square extreme eigenvalue (MSEE), is proposed. Considering multiple antenna communication system, the proposal drawn from arithmetic-to-geometric mean (AGM) algorithm using only smallest and largest eigenvalues of covariance matrix received signal. The aim MSEE to avoid heavy computational costs AGM method. First, based on random theory, theoretical development set threshold provided. Then, validity expression verified by simulations....
This paper presents a technique to mitigate multiple access interference (MAI) in multicarrier code division (MC-CDMA) wireless communications systems. Although under normal circumstances the MC-CDMA system can achieve high spectral efficiency and resistance towards inter symbol (ISI) however when exposed substantial nonlinear distortion issue of MAI manifests. Such results power amplifiers are driven into saturation or transmit signal experiences extreme adverse channel conditions. The...
Node positioning or localization is a critical requisite for numerous position-based applications of wireless sensor network (WSN). Localization using the unmanned aerial vehicle (UAV) preferred over fixed terrestrial anchor node (FTAN) because low implementation complexity and high accuracy. The conventional multilateration technique estimates position unknown (UN) based on distance from (AN) to UN that obtained received signal strength (RSS) measurement. However, distortions in propagation...
The paper presents the results of a novel 3-D shared aperture 3 × matrix antenna-array for 26 GHz band 5 G wireless networks. Radiation elements constituting array are hexagonal-shaped patches that elevated above common dielectric substrate by 3.35 mm and excited through metallic rod 0.4 diameter. protrudes 0.8 thickness. It is shown isolating each radiating element in with wall suppresses unwanted electromagnetic (EM) wave interactions, resulting improvement antenna's impedance matching...
Cognitive radio (CR) was proposed as a solution to the spectrum scarcity problem. One of basic functions any CR is sensing. Most existing works on sensing consider Gaussian noise assumption. In practice, this assumption not always valid since several types exhibit non-Gaussian and impulsive behavior. Hence, it very beneficial study in presence noise. paper, we propose two new multiple-antenna-based methods, assuming that underlying follows symmetric α-stable distribution. This justified by...
Modulation recognition is crucial for a good environmental awareness required by cognitive radio systems. In this study, the authors design and compare models of four among most commonly used classifiers feature‐based automatic modulation classification (FB‐AMC) algorithms. Classifiers whose will be designed are tree, K ‐nearest neighbours, artificial neural networks (ANNs), support vector machines. they apply some statistical pattern techniques in context blind FB‐AMC over...
Automatic modulation classification (AMC) has been used as a crucial component to improve the overall performance in cognitive radio system, thereby allowing any user promote secure and reliable communication. In this letter, we propose semi-blind AMC approach based on simplified distributed space-time block coding (D-STBC) scheme, which STBC code is artificially generated by availing three nodes cooperative network. The proposed system aims at distinguishing between type order among...
This article presents a detailed survey on both asynchronous and synchronous Optical Code-Division Multiple-Access (OCDMA) systems based 1-D, 2-D, 3-D codes, distinctively. Accordingly, different coding schemes along with their multiplexing capacity, correlation features, advantages drawbacks are addressed benchmarked. Additionally, detection techniques such as direct coherent capability to handle Multiple Access-Interference also discussed. Furthermore, the main OCDMA from last two decades...
Automatic modulation recognition (AMR) has become increasingly important in the field of signal processing, especially with advancements intelligent communication systems. Deep Learning (DL) technologies have been incorporated into AMR and they shown outstanding performances against conventional methods. The robustness DL-based methods under varying noise regimes is one major concerns for widespread utilization this technology. Furthermore, most existing works neglected contributions...
More connectivity, higher data rates, more reliability, massive network capacity, performance and fewer delays are required in the fifth generation (5G) of cellular networks. The last ten years have contained explosive growth mobile traffic due to rapid proliferation Internet-connected smart devices. For 5G wireless networks, one challenges is discover how solve dilemma between capacity requirements spectrum shortage. Millimeter-wave communication therefore a key enabler for technologies....
This paper addresses the problem of blind digital modulation identification in time-selective multiple-input multiple-output channels. Our objective is to recognize schemes highly-mobile communication environments, for military or high-speed railway applications, without signal knowledge Channel State Information at receiver. The proposed process based on Blind Source Separation (BSS) and feature classification. We introduce a sliding window technique BSS faded-mixture overcome effect high...
Modulation type is one of the most important characteristics used in signal waveform identification. An algorithm for automatic modulation recognition has been developed and presented this study. The suggested verified using higher order statistical moments wavelet transform as a features set. A multi-layer neural network with resilient backpropagation learning proposed classifier. purpose to discriminate different M-ary shift keying types without any priori information. Pre-processing...
In this paper, secrecy performance is investigated over the cascaded fading channel for κ-μ distribution. The probability density function (PDF) and cumulative distribution (CDF) channels as well some of its special cases, such Rayleigh Rician are derived. A communication system operating analyzed in which outage (P <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">o</sub> ), average symbol error (ASEP), capacity (ACC) obtained terms Meijer...
Error rate analyses of cooperative non-orthogonal multiple access (CNOMA) systems are paramount importance to investigate the communication reliability for each user and facilitate development enhancement algorithms. Although CNOMA has recently attracted great attention, its error performance, particularly that full-duplex NOMA (FD-CNOMA), is still underexplored in literature. In this paper, we investigated performance FD-CNOMA under imperfect successive interference cancellation (SIC)...