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Lazaropoulos, Athanasios G. - One of the best experts on this subject based on the ideXlab platform.
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Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks – Part 2: The Numerical Results of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook Style Energy Thefts
'Future Energy Service and Publishing', 2020Co-Authors: Lazaropoulos, Athanasios G.Abstract:In [1], the theoretical framework for the interoperability of DHM, iSHM, mSHM, the definition procedure and the class maps has been first presented for OV LV BPL networks. But the main interest of the first paper has focused on the theory of the OV LV BPL topology footprints of TIM, FIIM and HS-DET method on the class maps.In this paper, the numerical results concerning the application of iSHM, mSHM, the definition procedure and the class maps to OV LV BPL networks are first shown. Then, given the iSHM and mSHM class maps, the footprints of TIM, FIIM and HS-DET method databases for the OV LV BPL topologies are highlighted. Finally, a technique for the detection of branch line faults and hook style energy thefts that is based on iSHM and mSHM footprints is proposed.Citation: Lazaropoulos, A. G. (2020). Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks – Part 2: The Numerical Results of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook Style Energy Thefts. Trends in Renewable Energy, 6, 88-109. DOI: 10.17737/tre.2020.6.1.0011
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Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks – Part 2: The Numerical Results of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook Style Energy Thefts
'Future Energy Service and Publishing', 2020Co-Authors: Lazaropoulos, Athanasios G.Abstract:In [1], the theoretical framework for the interoperability of DHM, iSHM, mSHM, the definition procedure and the class maps has been first presented for OV LV BPL networks. But the main interest of the first paper has focused on the theory of the OV LV BPL topology footprints of TIM, FIIM and HS-DET method on the class maps.In this paper, the numerical results concerning the application of iSHM, mSHM, the definition procedure and the class maps to OV LV BPL networks are first shown. Then, given the iSHM and mSHM class maps, the footprints of TIM, FIIM and HS-DET method databases for the OV LV BPL topologies are highlighted. Finally, a technique for the detection of branch line faults and hook style energy thefts that is based on iSHM and mSHM footprints is proposed.Citation: Lazaropoulos, A. G. (2020). Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks – Part 2: The Numerical Results of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook Style Energy Thefts. Trends in Renewable Energy, 6, 88-109. DOI: 10.17737/tre.2020.6.1.0011
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Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks – Part 1: The Theory of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook-Style Energy Thefts
'Future Energy Service and Publishing', 2020Co-Authors: Lazaropoulos, Athanasios G.Abstract:Due to the significant volatility of Broadband over Power Lines (BPL) networks regarding their circuital and topological characteristics, Channel statistical Modeling recently gains special attention from the BPL communications engineers. Among the recently presented Channel attenuation statistical models, initial statistical hybrid model (iSHM) and modified statistical hybrid model (mSHM) have been theoretically defined and applied to overhead medium voltage (OV MV), underground medium voltage (UN MV) and overhead high voltage (OV HV) BPL networks so far. Apart from the iSHM and mSHM definition and application, the theory of the definition procedure of new virtual distribution and transmission BPL topologies, which describes the phases towards defining statistically equivalent BPL topologies and topology subclasses to the real indicative ones, has been demonstrated as well as the class maps, which are 2D capacity contour plots with respect to the Channel attenuation statistical distributions (CASDs) parameters of iSHM and mSHM.In this pair of papers, iSHM, mSHM, the definition procedure of new virtual BPL topologies and the class mapping are first applied to overhead low voltage (OV LV) BPL networks. Based on the class maps and the BPL topology database of Topology Identification Methodology (TIM), the required theory for illustrating the footprint of the real OV LV BPL topologies is first presented on class maps in this paper. On the basis of the class maps and the BPL topology database of Fault and Instability Identification Methodology (FIIM), the required theory for illustrating the footprint of the OV LV BPL topologies with branch line faults is first identified on class maps in this paper. On the basis of the class maps and the BPL topology database of hook style energy theft detection method (HS-DET method), the required theory for illustrating the footprint of the OV LV BPL topologies with a hook style energy theft is first demonstrated on class maps in this paper.Citation: Lazaropoulos, A. G. (2020). Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks – Part 1: The Theory of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook-Style Energy Thefts. Trends in Renewable Energy, 6, 61-87. DOI: 10.17737/tre.2020.6.1.0011
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Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks – Part 1: The Theory of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook-Style Energy Thefts
'Future Energy Service and Publishing', 2020Co-Authors: Lazaropoulos, Athanasios G.Abstract:Due to the significant volatility of Broadband over Power Lines (BPL) networks regarding their circuital and topological characteristics, Channel statistical Modeling recently gains special attention from the BPL communications engineers. Among the recently presented Channel attenuation statistical models, initial statistical hybrid model (iSHM) and modified statistical hybrid model (mSHM) have been theoretically defined and applied to overhead medium voltage (OV MV), underground medium voltage (UN MV) and overhead high voltage (OV HV) BPL networks so far. Apart from the iSHM and mSHM definition and application, the theory of the definition procedure of new virtual distribution and transmission BPL topologies, which describes the phases towards defining statistically equivalent BPL topologies and topology subclasses to the real indicative ones, has been demonstrated as well as the class maps, which are 2D capacity contour plots with respect to the Channel attenuation statistical distributions (CASDs) parameters of iSHM and mSHM.In this pair of papers, iSHM, mSHM, the definition procedure of new virtual BPL topologies and the class mapping are first applied to overhead low voltage (OV LV) BPL networks. Based on the class maps and the BPL topology database of Topology Identification Methodology (TIM), the required theory for illustrating the footprint of the real OV LV BPL topologies is first presented on class maps in this paper. On the basis of the class maps and the BPL topology database of Fault and Instability Identification Methodology (FIIM), the required theory for illustrating the footprint of the OV LV BPL topologies with branch line faults is first identified on class maps in this paper. On the basis of the class maps and the BPL topology database of hook style energy theft detection method (HS-DET method), the required theory for illustrating the footprint of the OV LV BPL topologies with a hook style energy theft is first demonstrated on class maps in this paper.Citation: Lazaropoulos, A. G. (2020). Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks – Part 1: The Theory of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook-Style Energy Thefts. Trends in Renewable Energy, 6, 61-87. DOI: 10.17737/tre.2020.6.1.0011
Robert Schober - One of the best experts on this subject based on the ideXlab platform.
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Channel Modeling for IRS-Assisted FSO Systems
arXiv: Signal Processing, 2020Co-Authors: Hedieh Ajam, Marzieh Najafi, Vahid Jamali, Robert SchoberAbstract:In this paper, we develop an analytical Channel model for intelligent reflecting surface (IRS)-assisted free space optical (FSO) systems. Unlike IRS-assisted radio frequency systems, where it is typically assumed that a plane wave is incident on the IRS, in FSO systems, the incident wave is a Gaussian beam with non-uniform power distribution across the IRS. Taking this property into account, we develop an analytical end-to-end Channel model for IRS-assisted FSO systems based on the Huygens-Fresnel principle. Our analytical model reveals the impact of the size, position, orientation, and phase-shift configuration of the IRS on the end-to-end Channel. Furthermore, we show that results obtained based on geometric optics under the far-field approximation are only valid for a specific range of IRS-receiver lens distances depending on the IRS size, incident beam width, and wavelength. Simulation results validate the accuracy of the proposed analytical results for the FSO beam reflected from the IRS and compare the bit error rate performance obtained for the proposed analytical Channel model with that obtained for geometric optics under the far-field approximation.
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Channel Modeling for diffusive molecular communication a tutorial review
Proceedings of the IEEE, 2019Co-Authors: Vahid Jamali, Arman Ahmadzadeh, Wayan Wicke, Adam Noel, Robert SchoberAbstract:Molecular communication (MC) is a new communication engineering paradigm where molecules are employed as information carriers. MC systems are expected to enable new revolutionary applications, such as sensing of target substances in biotechnology, smart drug delivery in medicine, and monitoring of oil pipelines or chemical reactors in industrial settings. As for any other kind of communication, simple yet sufficiently accurate Channel models are needed for the design, analysis, and efficient operation of MC systems. In this paper, we provide a tutorial review on mathematical Channel Modeling for diffusive MC systems. The considered end-to-end MC Channel models incorporate the effects of the release mechanism, the MC environment, and the reception mechanism on the observed information molecules. Thereby, the various existing models for the different components of an MC system are presented under a common framework and the underlying biological, chemical, and physical phenomena are discussed. Deterministic models characterizing the expected number of molecules observed at the receiver and statistical models characterizing the actual number of observed molecules are developed. In addition, we provide the Channel models for time-varying MC systems with moving transmitters and receivers, which are relevant for advanced applications such as smart drug delivery with mobile nanomachines. For complex scenarios, where simple MC Channel models cannot be obtained from first principles, we investigate the simulation- and experiment-driven Channel models. Finally, we provide a detailed discussion of potential challenges, open research problems, and future directions in Channel Modeling for diffusive MC systems.
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Channel Modeling for Diffusive Molecular Communication - A Tutorial Review
arXiv: Emerging Technologies, 2018Co-Authors: Vahid Jamali, Arman Ahmadzadeh, Wayan Wicke, Adam Noel, Robert SchoberAbstract:Molecular communication (MC) is a new communication engineering paradigm where molecules are employed as information carriers. MC systems are expected to enable new revolutionary applications such as sensing of target substances in biotechnology, smart drug delivery in medicine, and monitoring of oil pipelines or chemical reactors in industrial settings. As for any other kind of communication, simple yet sufficiently accurate Channel models are needed for the design, analysis, and efficient operation of MC systems. In this paper, we provide a tutorial review on mathematical Channel Modeling for diffusive MC systems. The considered end-to-end MC Channel models incorporate the effects of the release mechanism, the MC environment, and the reception mechanism on the observed information molecules. Thereby, the various existing models for the different components of an MC system are presented under a common framework and the underlying biological, chemical, and physical phenomena are discussed. Deterministic models characterizing the expected number of molecules observed at the receiver and statistical models characterizing the actual number of observed molecules are developed. In addition, we provide Channel models for time-varying MC systems with moving transmitters and receivers, which are relevant for advanced applications such as smart drug delivery with mobile nanomachines. For complex scenarios, where simple MC Channel models cannot be obtained from first principles, we investigate simulation-driven and experimentally-driven Channel models. Finally, we provide a detailed discussion of potential challenges, open research problems, and future directions in Channel Modeling for diffusive MC systems.
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Stochastic Channel Modeling for Diffusive Mobile Molecular Communication Systems
IEEE Transactions on Communications, 2018Co-Authors: Arman Ahmadzadeh, Vahid Jamali, Robert SchoberAbstract:In this paper, we consider mobile molecular communication (MC) systems which are expected to find application in several fields including targeted drug delivery and health monitoring. We develop a mathematical framework for Modeling the time-variant stochastic Channels of diffusive mobile MC systems. In particular, we consider a diffusive mobile MC system consisting of a pair of transmitter and receiver nano-machines suspended in a fluid medium with a uniform bulk flow, where we assume that either the transmitter or the receiver or both are mobile, and we model the mobility by Brownian motion. The transmitter and receiver nano-machines exchange information via diffusive signaling molecules. Due to the random movements of the transmitter and receiver nano-machines, the statistics of the Channel impulse response (CIR) change over time. We derive closed-form expressions for the mean, the autocorrelation function (ACF), the cumulative distribution function (CDF), and the probability density function (PDF) of the time-variant CIR. Exploiting the ACF, we define the coherence time of the time-variant MC Channel as a metric for characterization of the variations of the CIR. The derived CDF is employed for calculation of the outage probability of the system. We also show that under certain conditions, the PDF of the CIR can be accurately approximated by a Log-normal distribution. Based on this approximation, we derive a simple model for outdated Channel state information (CSI). Moreover, we derive an analytical expression for the evaluation of the expected error probability of a simple detector for the considered MC system. In order to investigate the impact of CIR decorrelation over time, we compare the performances of a detector with perfect CSI knowledge and a detector with outdated CSI knowledge. The accuracy of the proposed analytical expressions is verified via particle-based simulation of the Brownian motion.
Branka Vucetic - One of the best experts on this subject based on the ideXlab platform.
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Analytical Model for Outdoor Millimeter Wave Channels Using Geometry-Based Stochastic Approach
IEEE Transactions on Vehicular Technology, 2017Co-Authors: Nor Aishah Muhammad, Yonghui Li, Peng Wang, Branka VuceticAbstract:The severe bandwidth shortage in conventional microwave bands has spurred the exploration of the millimeter wave (MMW) spectrum for the next revolution in wireless communications. However, there is still lack of proper Channel Modeling for the MMW wireless propagation, especially in the case of outdoor environments. In this paper, we develop a geometry-based stochastic Channel model to statistically characterize the effect of all the first-order reflection paths between the transmitter and receiver. These first-order reflections are generated by the single-bounce of signals reflected from the walls of randomly distributed buildings. Based on this geometric model, a closed-form expression for the power delay profile (PDP) contributed by all the first-order reflection paths is obtained and then used to evaluate their impact on the MMW outdoor propagation characteristics. Numerical results are provided to validate the accuracy of the proposed model under various Channel parameter settings. The findings in this paper provide a promising step towards more complex and practical MMW propagation Channel Modeling.
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Channel Modeling and simulation in satellite mobile communication systems
IEEE Journal on Selected Areas in Communications, 1992Co-Authors: Branka Vucetic, J. DuAbstract:An analog model describing signal amplitude and phase variations on shadowed satellite mobile Channels is proposed. A linear combination of log-normal, Rayleigh, and Rice models is used to describe signal variations over an area with constant environment attributes while an M-state Markov chain is applied to represent environment parameter variations. Channel parameters are evaluated from the experimental data and utilized to verify a simulation model. Results, presented in the form of signal waveforms, probability density functions, fade durations, and average bit and block error rates, show close agreement with measurements. >
Kyunghi Chang - One of the best experts on this subject based on the ideXlab platform.
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3 d mimo Channel Modeling with beamforming analysis for dual polarized antenna systems
Vehicular Technology Conference, 2013Co-Authors: Xin Su, Bing Hui, Kyunghi ChangAbstract:The use of polarized antenna systems has been receiving considerable attention. However, few studies have addressed to characterize the cross-polarized multiple-input multiple-output (MIMO) Channel Modeling. In this paper, we consider a scenario where receiver with the dual-polarized antennas moves far from the transmitter. Thus, the incoming signal can be treated to be parallel to the polarized antenna X-Y plane. Different from the conventional polarized MIMO Channel models, such as spatial Channel model extended (SCM-E) and the polarized Channel model in IEEE 802.20 which only produce single output of complex Channel gain for each individual time instance or lack of the consideration of variable mobility, the proposed Channel model is simple and practical to exploit MIMO spatial multiplexing and/or diversity gains by relying on a limited number of physical parameters. As a result, beamforming technology is easy to be implemented and analyzed under the proposed Channel model. The performance of polarized antenna systems with beamforming technology is finally evaluated via a detailed analysis on bit-error-rate (BER) in this paper.
A C Boucouvalas - One of the best experts on this subject based on the ideXlab platform.
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data driven optical fiber Channel Modeling a deep learning approach
Journal of Lightwave Technology, 2020Co-Authors: Danshi Wang, Yuchen Song, Jun Qin, Tao Yang, Min Zhang, Xue Chen, A C BoucouvalasAbstract:A data-driven fiber Channel Modeling method based on deep learning (DL) is introduced in an optical communication system. In this study, bidirectional long short-term memory (BiLSTM) is selected from a diverse range of DL algorithms to perform fiber Channel Modeling for on–off keying and pulse amplitude modulation 4 signals. Compared with the conventional model-driven split-step Fourier (SSF)-based method, the proposed method yields similar results based on the comprehensive comparison of multiple characteristics associated with the generated optical signals, including the optical amplitude and phase waveforms in the time domain, optical spectrum components in the frequency domain, and eye diagrams after detection in the electrical domain. Additionally, the effects of multiple factors on the modeled fiber Channel have also be investigated, including fiber length, fiber nonlinearity, dispersion, data pattern, pulse shaping, and sample rate. The satisfactory fitting results and acceptable mean square errors indicate that the approximate transfer function of the fiber Channel is learned by the BiLSTM. Moreover, compared with repetitive iteration SSF, the computing time is significantly reduced by the BiLSTM owing to its independence on fiber length and insensitivity to data size and launch power. Our aim is to demonstrate the BiLSTM is comparable with the conventional model-driven SSF-based method for direct-detection optical fiber system. We think the proposed method could be a supplementary technique that can be used for the existing simulation system and could also be a potential option for future simulation methods.