
Ali MansourENSTA Bretagne · Lab-STICC
Ali Mansour
Ph.D. (French HDR)
About
320
Publications
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4,052
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Citations since 2017
Introduction
1997, Post-doc INPG, France
1997-2001, Researcher BMC - RIKEN, Japan
2001-2008, teacher-researcher at ENSIETA, France
2008-2010, Senior-lecturer ECE-Curtin Uni., Australia
Jan 2009, Invited prof at ULCO, France
2010-2012, Prof at Univ of Tabuk, KSA
Sept 2012 ~: Prof at ENSTA-Bretagne, France
Elected to the grade of IEEE senior Member in Feb 2006
In 2007 & 2012, qualified as active Prof by French Conseil National (CNU)
Served as Head of Electrical Eng Depart at Tabuk Univ, KSA
Additional affiliations
Publications
Publications (320)
Underwater wireless sensor networks possess considerable potential to monitor large and hostile underwater environments by reliably sensing, collecting, and forwarding data toward the surface sinks. Although the research community has made promising efforts, barriers such as continuous node mobility, longer delays, unavailability of location inform...
In this treatise, we develop a standard modulation design to consummate concomitant frequency up mixing dependent on the three parallel SOA-MZIs by employing a sampling arrangement in Virtual Photonics Inc. (VPI) software. Each SOA-MZI is used to acquire a frequency output sampled signal at higher frequencies. Then, the amalgamation of these three...
Recently, the coronavirus pandemic has caused widespread panic around the world. Modern technologies can be used to monitor and control this highly contagious disease. A plausible solution is to equip each patient who is diagnosed with or suspected of having COVID-19 with sensors that can monitor various healthcare and location parameters and repor...
In this paper, we consider problem of estimating diffraction attenuation from approximation of a terrain using multiple bridged knife-edge model. This model can be considered as a generalization of well-known multiple knife-edge one where spaces between knife-edge are bridged by reflecting surfaces. A series based-standard solution is presented in...
In this paper, we expound a modulation concept to contrive simultaneous frequency down-conversion based on a three parallel Semiconductor Optical Amplifier Mach-Zehnder Interferometers (SOA-MZIs) link by using a band pass sampling method in a Virtual Photonics Inc. simulator. Each SOA-MZI is deployed to achieve a down-converted signal, which has te...
Desalination is the process of making the saltwater of the Earth's oceans drinkable and could be a solution to droughts, especially in warmer and drier regions. However, the concerns of high cost and ecosystem degradation have always restricted the growth of the desalination industry and necessitated further studies and corrective actions. As desal...
The intelligent transportation systems have attracted the attention of many researchers and developers in the last few decades in order to make the exploitation of transportation networks be safer, more coordinated, and smarter. Channel modeling for vehicle-to-vehicle (V2V) communication is one of the related research topics that are being investig...
Simulation and experimental performance analysis of a positive-intrinsic-negative photodiode (PIN-PD) sampling mixer used as frequency up and down-converters are presented. Besides, a frequency mixing with a PIN-PD can operate in a frequency range up to 47.3 GHz for up-conversion and 38.5 GHz for down-conversion. The design and operating regime pec...
In this paper, we present a real and simulated study of a frequency up mixing employing an electro-optical sampling semiconductor optical amplifier Mach–Zehnder interferometer (SOA–MZI) along with the differential modulation schema. The sampling signal is generated by an optical pulse clock (OPC) at a frequency of fs= 19.5 GHz. The quadratic phase...
Recently, the world has witnessed a technology revolution in many sectors and fields with the aim to enhance the quality of life and the human security. Particularly, the integration of small sensing devices into a wide range of objects has enabled the deployment of new services and applications that made our lives smarter and safety. With such sen...
This work presents the cepstral covariance detector for spectrum sensing in cognitive radio. The power cepstral peaks of digitally modulated signals are exploited for spectrum sensing. To enhance the process of signal detection in low signal-to-noise ratio environments and with the knowledge of the data rate of the primary user signal, the cepstral...
In this paper, we propose a new protocol called LoRaCog to introduce the concept of Cognitive Radio (CR) in the LoRa network. LoRaCog will enable access to a wider spectrum than that of LoRaWAN by using the unutilized spectrum and thus has better efficiency without impacting the end devices’ battery consumption. LoRa networks are managed by LoRaWAN...
In Cognitive Radio (CR) networks, Primary User (PU) and Secondary User (SU) coexist to efficiently share the spectrum. PU has the right to access its dedicated channel at any time, while SU, operating in an opportunistic mode. can access only when PU is absent. Thus, SU should continuously monitor the channel to avoid any interference with PU when...
The foundation of any smart city requires an innovative and robust communication infrastructure. Many research communities envision free-space optical communication (FSO) as a promising backbone technology for the services and applications provided by such cities. However, the channel through which the FSO signal travels is the atmosphere. Therefor...
In this paper, we propose a self referencing scheme for the reduced complexity parallel least mean square (RC-pLMS) adaptive beamforming algorithm as means of robustness against possible interruptions in the reference signal and its hardware implementation. The RC-pLMS is a single stage, non-blind, least mean square (LMS) algorithm with modified in...
Classical, i.e., non-quantum, communications include configurations with multiple-input multiple-output (MIMO) channels. Some associated signal processing tasks consider these channels in a symmetric way, i.e., by assigning the same role to all channel inputs, and similarly to all channel outputs. These tasks especially include channel identificati...
Simulation and experimental performance analyses of simultaneous up-converted signals, for the first time, were investigated utilizing a semiconductor optical amplifier Mach–Zehnder interferometer (SOA-MZI) sampling mixer in co- and counter-directions for standard and differential modulation modes. An optical pulse source at a sampling frequency of...
Visible light communication (VLC) has become a promising technology for high data rate communications and an attractive complementary to conventional radio frequency (RF) communication. VLC is a secure, energy efficient and cost-effective technology that exploits the existing infrastructure, particularly in indoor environments, for wireless data tr...
This study focuses on a novel concept of transmitting of a quadrature phase shift keying (QPSK) modulation by an electro-optical frequency up-conversion using a cascaded Mach–Zehnder modulators (MZMs) link. Furthermore, we conduct and compare the results obtained by simulations using the Virtual Photonics Inc. (VPI) (Berlin, Germany) simulator and...
We consider a single transmitter and multiple receivers equipped with multiple antennas to exploit the spatial characteristics for transmission. To allow the receiver to transmit simultaneously with the transmitter but in a different direction, the receivers use two methods to estimate the half-power beamwidth of the transmitting signal. The first...
In this manuscript, we introduce a semi-blind spectrum sensing technique based on cepstral analysis for interweave cognitive systems. The misdetection problem of spread spectrum signals leads to erroneous sensing results, which affect the quality-of-service of a legitimate user. The simplicity and accuracy of cepstral analysis approaches make them...
Due to recent advancements and the success of versatile mobile applications, more and more services around the globe are being moved to the cloud. As a result, its limitations have become more evident. The major issues that cloud-based applications face include large latency, bottlenecks because of central processing, compromised security, and lack...
We consider a cognitive radio network with a primary user (PU) and secondary users (SU), all equipped with multiple antennas to exploit the spatial characteristics for transmission. The SUs cooperate to estimate the beam of the PU's signal. Thus, the available space is divided into two parts. The first is occupied by the PU and should be restricted...
This paper presents a new direction of arrival (DoA) algorithm, called Optimized-MUSIC (OP-MUSIC) algorithm, for DoA estimation of both coherent and non-coherent sources. Many DoA estimation algorithms have been proposed in the literature, such as: Multiple Signal Classification (MUSIC) algorithm which has considered to has exceptionally good resul...
Satisfying the users' increasing demand and reducing the networks' energy consumption are among the most critical requirements of future cellular networks. In this paper, we exploit Intelligent Reflecting Surfaces (IRSs) to reduce the bandwidth required by users, which will allow more users to be served and/or reduce the energy footprint of cellula...
In cognitive radio wireless sensor networks (CRSN), the nodes act as secondary users. Therefore, they can access a channel whenever its primary user (PU) is absent. Thus, the nodes are assumed to be equipped with a spectrum sensing (SS) module to monitor the PU activity. In this manuscript, we focus on a clustered CRSN, where the cluster head (CH)...
In Wireless Sensor Networks (WSN), the nodes may be randomly deployed over a harsh geographical zone. Usually, these nodes are battery powered with limited transmission and processing capabilities. Managing the residual energy is very crucial in such network, since replacing a battery may not be always feasible. Energy is essentially consumed durin...
In this paper, a simultaneous frequency up- and down-conversion is performed using a cascaded semiconductor optical amplifier Mach-Zehnder interferometers (SOA-MZIs) link for radio-over-fiber (RoF) applications. The intermediate frequency (IF) signal carrying quadratic phase shift keying (QPSK) data at a frequency f1 is up-converted at the SOA-MZI1...
A simulation performance analysis of a semiconductor optical amplifier Mach–Zehnder interferometer (SOA-MZI) sampling mixer used as a frequency down converter is presented by employing a differential modulation and switching architectures. A clock pulse signal, generating 2 ps-width pulses at a sampling frequency of 13 GHz, is used as a sampling si...
Electromyography (EMG) sensors produce a stream of data at rates that can easily saturate a low-energy wireless link such as Bluetooth Low Energy (BLE), especially if more than a few EMG channels are being transmitted simultaneously. Compressing data can thus be seen as a nice feature that could allow both longer battery life and more simultaneous...
Due to its unique pattern and different goals, Machine-to-Machine (M2M) traffic necessitates new traffic models. The real challenge is striking a balance between model accuracy and dealing with a massive number of M2M devices that must all work in unison. On the one hand, due to their reliability, "Source traffic models" have a competitive advantag...
Classical, i.e. non-quantum, communications include configurations with multiple-input multiple-output (MIMO) channels. Some associated signal processing tasks consider these channels in a symmetric way, i.e. by assigning the same role to all channel inputs, and similarly to all channel outputs. These tasks especially include channel identification...
Spectrum Sensing (SS) is an essential task of the Secondary User (SU) in a Cognitive Radio system. SS monitors the Primary User (PU) activity in order to avoid any collision with SU, as the latter should be silent when PU is active on a given channel. Hybrid SS (HSS) is one of the powerful methods used to monitor PU activity. It consists of using d...
This paper tackles the problem of Opportunistic Spectrum Access (OSA) in the Cognitive Radio (CR). The main challenge of a Secondary User (SU) in OSA is to learn the availability of existing channels in order to select and access the one with the highest vacancy probability. To reach this goal, we propose a novel Multi-Armed Bandit (MAB) algorithm...
Big data collection and storage have become one of the most obvious challenge in this era. Indeed, much of that data is collected thanky to a huge number of connected devices in sensing-based IoT applications. Thus, in order to deal with data growth in such applications, researchers have focused on data reduction approach as an efficient solution f...
Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth survey on the most recent advances in SS for CR. We start by explaining the Half-Duplex and Full-Duplex paradigms, while focusing on the operating modes in the Full-Duplex....
Unmanned aerial vehicles (UAVs) are being used in many military and civil applications while their use along wireless sensors is emerging abruptly as it upgrades the network in terms of reliability, lifetime, and connectivity. The system performance and throughput can be further enhanced if the UAVs in use are capable to locate ground sensor nodes...
Abstract
In this paper, a battery-powered Internet of Things assisting Cognitive Radio (CR-IoT) network is considered. In CR-IoT network, a set of IoT End Nodes (ENs) are assumed to cooperatively sense the channel. Each EN performs a Spectrum Sensing (SS) and reports its decision to a Fusion Center in order to reach the decision on the PU status. S...
This manuscript focuses on issues related to the implementation of the Future Multiband Multiwaveform Modular Tactical Radio (FM3TR) waveform on two different SCA platforms with similar hardware but different SCA development and deployment environments. Our experimental results showed that a SCA standardization based on technologies such as CORBA,...
We consider the problem of multiple knife-edge diffraction estimation which is a fundamental task in many wireless communication applications. So far, one of the most accurate methods for this problem is the Vogler one whose recursive implementation is efficient to reduce the high computational complexity of the direct one. However, in the original...
Electrocardiogram (ECG) signal monitoring is crucial in the operating room. During surgery, when using an electrosurgical unit (ESU), the ECG signal is corrupted by strong interference generated by the ESU, so-called Electrosurgical Artifacts (EAs). The objective of this study is to enhance the infected ECG signal and to remove the impact of the EA...
Abstract Opportunistic spectrum access (OSA) problem in cognitive radio (CR) networks allows a secondary (unlicensed) user (SU) to access a vacant channel allocated to a primary (licensed) user (PU). By finding the availability of the best channel, i.e., the channel that has the highest availability probability, a SU can increase its transmission t...
Multiband spectrum access plays an essential role in cognitive radio systems so as to increase the network’s throughput through wideband spectrum sensing. It includes identifying the number of subbands comprising a wide spectrum by edge detection, and also examining their occupancy through primary user detection techniques. Despite the offered accu...
The main aim of the Spectrum Sensing (SS) in a Cognitive Radio system is to distinguish between the binary hypotheses H0: Primary User (PU) is absent and H1: PU is active. In this paper, Machine Learning (ML)-based hybrid Spectrum Sensing (SS) scheme is proposed. The scattering of the Test Statistics (TSs) of two detectors is used in the learning a...
We investigate in this paper many problems related to the decision-making process in the
Cognitive Radio (CR) where a Secondary User (SU) tries to maximize its opportunities by
finding the most vacant channel. Recently, Multi-Armed Bandit (MAB) problems attracted
the attention to help a single SU, in the context of CR, make an optimal decision usin...
In this paper, we propose a reduced complexity parallel least mean square structure (RC-pLMS) for adaptive beamforming and its pipelined hardware implementation. RC-pLMS is formed by two least mean square (LMS) stages operating in parallel (pLMS), where the overall error signal is derived as a combination of individual stage errors. The pLMS is fur...
Nowadays, the increasing number of patients accompanied with the emergence of new symptoms and diseases makes heath monitoring and assessment a complicated task for medical staff and hospitals. Indeed, the processing of big and heterogeneous data collected by biomedical sensors along with the need of patients' classification and disease diagnosis b...
Sorting algorithms are computationally expensive routines frequently executed on modern computers and embedded systems. Implementing sorting algorithms on dedicated hardware can contribute significantly to the overall execution time of the processes and applications embodying them. However, such algorithms are known to suffer from a trade off betwe...
Nowadays, keeping a strong and good health is one of the main concern of the general public or governments. The Internet of Things (IoT) has been emerged as an efficient solution to build smart healthcare systems deployed either at hospitals or in-home. Such networks rely on biomedical sensors which are used in electronics-based medical equipment t...
To enhance the error performance of impulse radio UWB transceivers, we introduce in this manuscript a novel modulation scheme based on exploiting the symmetry properties of transmitted waveforms. Parity Modulation utilizes odd versus even pulses to represent binary data, while the detector relies on a time reverser and non-coherent cross correlator...
In this paper, a Transmitting-Receiving-Sensing (TRS) mode of OFDM-based Full-Duplex CognitiveRadio (FD-CR) is proposed. The new mode aims at monitoring the Primary User (PU) activities on theoperating channel while establishing an in-band full-duplex communication between two communicatingSecondary Users (SUs),i.e.SUs transmit and receive simultan...
This chapter envisions the challenges that will face the mobile operators such as sending vehicle-to-vehicle (V2V) payloads in form of synchronized storms, the fast saturation of the limited bandwidth of long-term evolution for machines (LTE-M) and narrow band-internet of things (NB-IoT) with the rise number of machine-to-machine (M2M) devices and...
In this paper, we present a new Transmitting-Receiving-Sensing (TRS) mechanism for full-duplex cognitive radio. Our proposed mechanism permits Secondary Users (SUs) to establish a bidirectional communication over the same frequency band while keeping aware of the Primary User (PU) activity status. The activity period of SU in our proposed mechanism...
Despite the perception people may have regarding the agricultural process, the reality is that today's agriculture industry is data-centered, precise, and smarter than ever. The rapid emergence of the Internet-of-Things (IoT) based technologies redesigned almost every industry including ''smart agriculture'' which moved the industry from statistica...