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Author: Nir Shlezinger Publisher: ISBN: Category : Languages : en Pages : 108
Book Description
The growing interest in smart grid applications has drawn considerable attention to power line communications (PLC) as a central communications medium for smart grids. Specifically, network control and grid applications are allocated the frequency band of 0 − 500 kHz, commonly referred to as the narrowband PLC channel. As this frequency band is characterized by strong cyclostationary noise, multipath signal propagation, and periodically time varying channel conditions, narrowband PLC channels fall into the class of periodic channels with finite memory. In this dissertation we study communications over periodic channels with finite memory, utilizing the theory of cyclostationary processes to address two major aspects: information-theoretic performance bounds, and practical algorithms for realizing the predicted performance gains. In the first part of the dissertation, we study the fundamental rate limits of periodic channels with finite memory, focusing on the capacity of point-to-point (PtP) periodic channels, i.e., without security constraints, as well as the secrecy capacity of periodic wiretap channels, i.e., with security constraints. By proving a bijection between PtP periodic channels and time-invariant multiple input-multiple output (MIMO) channels with finite memory, we characterize the capacity of periodic channels via the capacity of the equivalent time-invariant MIMO channels. As part of the capacity derivation, we characterize the capacity achieving transmission scheme, which leads to a practical code construction that approaches capacity. Motivated by the bijection between periodic channels and time-invariant MIMO channels with finite memory, we study the secrecy capacity of time-invariant Gaussian MIMO channels with finite memory. Although the time-invariant Gaussian MIMO channel with finite memory is a very common channel model in wireless communications, as well as in wireline communications, this is the first time that the secrecy capacity has been characterized for this channel model. As the resulting secrecy capacity expression is given by a non-convex optimization problem, we derive a simple necessary and sufficient condition for positive secrecy capacity, and obtain an explicit expression for the secrecy capacity in the scalar case. Then, we show how our result directly leads to the secrecy capacity of periodic channels. In the second part of the dissertation, we study practical algorithms which utilize the theory of cyclostationarity to approach the predicted performance gains in periodic channels. First, we propose a receiver algorithm for the recovery of orthogonal frequency division multiplexing (OFDM) modulated signals in periodic channels. The proposed receiver uses frequency-shift filtering to exploit the cyclostationary properties of both the additive channel noise and the information signal. We explicitly derive the coefficients of the filter which minimize the time-averaged mean-squared error (TA-MSE), and propose an adaptive implementation, which is based on the recursive least-squares (RLS) algorithm. Numerical simulations show that the proposed receiver demonstrates a substantial performance gain over previously proposed receivers. Finally, motivated by the fact that most adaptive algorithms, such as the least mean-squares (LMS) and the RLS, are designed for stationary signals, we rigorously study the optimal adaptive filtering of cyclostationary signals. We first identify the relevant objective as the TA-MSE, and obtain an adaptive algorithm, which we refer to as time-averaged LMS (TA-LMS), as the stochastic approximation of the TA-MSE minimizer. We provide a comprehensive transient and steady-state performance analysis, and derive conditions for convergence and stability, which are shown to accurately characterize the performance of the adaptive algorithm in a simulation study.-- abstract.
Author: Nir Shlezinger Publisher: ISBN: Category : Languages : en Pages : 108
Book Description
The growing interest in smart grid applications has drawn considerable attention to power line communications (PLC) as a central communications medium for smart grids. Specifically, network control and grid applications are allocated the frequency band of 0 − 500 kHz, commonly referred to as the narrowband PLC channel. As this frequency band is characterized by strong cyclostationary noise, multipath signal propagation, and periodically time varying channel conditions, narrowband PLC channels fall into the class of periodic channels with finite memory. In this dissertation we study communications over periodic channels with finite memory, utilizing the theory of cyclostationary processes to address two major aspects: information-theoretic performance bounds, and practical algorithms for realizing the predicted performance gains. In the first part of the dissertation, we study the fundamental rate limits of periodic channels with finite memory, focusing on the capacity of point-to-point (PtP) periodic channels, i.e., without security constraints, as well as the secrecy capacity of periodic wiretap channels, i.e., with security constraints. By proving a bijection between PtP periodic channels and time-invariant multiple input-multiple output (MIMO) channels with finite memory, we characterize the capacity of periodic channels via the capacity of the equivalent time-invariant MIMO channels. As part of the capacity derivation, we characterize the capacity achieving transmission scheme, which leads to a practical code construction that approaches capacity. Motivated by the bijection between periodic channels and time-invariant MIMO channels with finite memory, we study the secrecy capacity of time-invariant Gaussian MIMO channels with finite memory. Although the time-invariant Gaussian MIMO channel with finite memory is a very common channel model in wireless communications, as well as in wireline communications, this is the first time that the secrecy capacity has been characterized for this channel model. As the resulting secrecy capacity expression is given by a non-convex optimization problem, we derive a simple necessary and sufficient condition for positive secrecy capacity, and obtain an explicit expression for the secrecy capacity in the scalar case. Then, we show how our result directly leads to the secrecy capacity of periodic channels. In the second part of the dissertation, we study practical algorithms which utilize the theory of cyclostationarity to approach the predicted performance gains in periodic channels. First, we propose a receiver algorithm for the recovery of orthogonal frequency division multiplexing (OFDM) modulated signals in periodic channels. The proposed receiver uses frequency-shift filtering to exploit the cyclostationary properties of both the additive channel noise and the information signal. We explicitly derive the coefficients of the filter which minimize the time-averaged mean-squared error (TA-MSE), and propose an adaptive implementation, which is based on the recursive least-squares (RLS) algorithm. Numerical simulations show that the proposed receiver demonstrates a substantial performance gain over previously proposed receivers. Finally, motivated by the fact that most adaptive algorithms, such as the least mean-squares (LMS) and the RLS, are designed for stationary signals, we rigorously study the optimal adaptive filtering of cyclostationary signals. We first identify the relevant objective as the TA-MSE, and obtain an adaptive algorithm, which we refer to as time-averaged LMS (TA-LMS), as the stochastic approximation of the TA-MSE minimizer. We provide a comprehensive transient and steady-state performance analysis, and derive conditions for convergence and stability, which are shown to accurately characterize the performance of the adaptive algorithm in a simulation study.-- abstract.
Author: William A. Gardner Publisher: Institute of Electrical & Electronics Engineers(IEEE) ISBN: Category : Mathematics Languages : en Pages : 528
Book Description
From this book, you will learn new concepts, methods, and algorithms for performing signal processing tasks and designing and analyzing communications systems.
Author: Lutz Lampe Publisher: John Wiley & Sons ISBN: 1118676696 Category : Technology & Engineering Languages : en Pages : 624
Book Description
This second edition of Power Line Communications will show some adjustments in content including new material on PLC for home and industry, PLC for multimedia, PLC for smart grid and PLC for vehicles. Additional chapters include coverage of Channel Characterization, Electromagnetic Compatibility, Coupling, and Digital Transmission Techniques. This book will provide the reader with a wide coverage of the major developments within the field. With contributions from some of the most active researchers on PLC, the book brings together a wealth of international experts on specific PLC topics.
Author: Antonio Napolitano Publisher: Academic Press ISBN: 0081027370 Category : Technology & Engineering Languages : en Pages : 626
Book Description
Many processes in nature arise from the interaction of periodic phenomena with random phenomena. The results are processes that are not periodic, but whose statistical functions are periodic functions of time. These processes are called cyclostationary and are an appropriate mathematical model for signals encountered in many fields including communications, radar, sonar, telemetry, acoustics, mechanics, econometrics, astronomy, and biology. Cyclostationary Processes and Time Series: Theory, Applications, and Generalizations addresses these issues and includes the following key features. Presents the foundations and developments of the second- and higher-order theory of cyclostationary signals Performs signal analysis using both the classical stochastic process approach and the functional approach for time series Provides applications in signal detection and estimation, filtering, parameter estimation, source location, modulation format classification, and biological signal characterization Includes algorithms for cyclic spectral analysis along with Matlab/Octave code Provides generalizations of the classical cyclostationary model in order to account for relative motion between transmitter and receiver and describe irregular statistical cyclicity in the data
Author: Han, Bin Publisher: KIT Scientific Publishing ISBN: 3731506548 Category : Technology (General) Languages : en Pages : 194
Book Description
The demand for smart grid and smart home applications has raised the recent interest in power line communication (PLC) technologies, and has driven a broad set of deep surveys in low-voltage (LV) power line channels. This book proposes a set of novel approaches, to characterize and to emulate LV power line channels in the frequency range from0.15to 10 MHz, which closes gaps between the traditional narrowband (up to 500 kHz) and broadband (above1.8 MHz) ranges.
Author: Jason C. Hung Publisher: Springer ISBN: 9811073988 Category : Technology & Engineering Languages : en Pages : 488
Book Description
This book gathers the proceedings of the 6th International Conference on Frontier Computing, held in Osaka, Japan on July 12–14, 2017, and provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including communication networks, business intelligence and knowledge management, web intelligence, and related fields that inspire the development of information technology. The respective contributions cover a wide range of topics: database and data mining, networking and communications, web and internet of things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Many of the papers outline promising future research directions, and the book will benefit students, researchers and professionals alike. Further, it offers a useful reference guide for newcomers to the field.
Author: Antonio Napolitano Publisher: John Wiley & Sons ISBN: 1118437918 Category : Technology & Engineering Languages : en Pages : 452
Book Description
The relative motion between the transmitter and the receiver modifies the nonstationarity properties of the transmitted signal. In particular, the almost-cyclostationarity property exhibited by almost all modulated signals adopted in communications, radar, sonar, and telemetry can be transformed into more general kinds of nonstationarity. A proper statistical characterization of the received signal allows for the design of signal processing algorithms for detection, estimation, and classification that significantly outperform algorithms based on classical descriptions of signals.Generalizations of Cyclostationary Signal Processing addresses these issues and includes the following key features: Presents the underlying theoretical framework, accompanied by details of their practical application, for the mathematical models of generalized almost-cyclostationary processes and spectrally correlated processes; two classes of signals finding growing importance in areas such as mobile communications, radar and sonar. Explains second- and higher-order characterization of nonstationary stochastic processes in time and frequency domains. Discusses continuous- and discrete-time estimators of statistical functions of generalized almost-cyclostationary processes and spectrally correlated processes. Provides analysis of mean-square consistency and asymptotic Normality of statistical function estimators. Offers extensive analysis of Doppler channels owing to the relative motion between transmitter and receiver and/or surrounding scatterers. Performs signal analysis using both the classical stochastic-process approach and the functional approach, where statistical functions are built starting from a single function of time.
Author: Lars Torsten Berger Publisher: CRC Press ISBN: 1351832123 Category : Technology & Engineering Languages : en Pages : 712
Book Description
One of the first publications of its kind in the exciting field of multiple input multiple output (MIMO) power line communications (PLC), MIMO Power Line Communications: Narrow and Broadband Standards, EMC, and Advanced Processing contains contributions from experts in industry and academia, making it practical enough to provide a solid understanding of how PLC technologies work, yet scientific enough to form a base for ongoing R&D activities. This book is subdivided into five thematic parts. Part I looks at narrow- and broadband channel characterization based on measurements from around the globe. Taking into account current regulations and electromagnetic compatibility (EMC), part II describes MIMO signal processing strategies and related capacity and throughput estimates. Current narrow- and broadband PLC standards and specifications are described in the various chapters of part III. Advanced PLC processing options are treated in part IV, drawing from a wide variety of research areas such as beamforming/precoding, time reversal, multi-user processing, and relaying. Lastly, part V contains case studies and field trials, where the advanced technologies of tomorrow are put into practice today. Suitable as a reference or a handbook, MIMO Power Line Communications: Narrow and Broadband Standards, EMC, and Advanced Processing features self-contained chapters with extensive cross-referencing to allow for a flexible reading path.
Author: Emmanuel Adebomi Oyekanlu Publisher: ISBN: Category : Electric lines Languages : en Pages : 246
Book Description
The Smart Grid (SG) is rapidly evolving to a network with billions of sensors generating huge amount of data, thus becoming an integral part of the emerging Internet of Things (IoT). This explosion of devices on the SG will require further research and development initiatives on network reliability, effective machine to machine communication, reactive and scalable architecture for enhanced infrastructure dependability and for improved utilization of existing spectrum. For the Smart Grid and IoT, a pervasive and reliable communication network is required. Powerline communication (PLC) is a very convenient, inexpensive, last mile solution in this regard since it is a ubiquitous infrastructure that is already existing, thus there will not be a need to lay new cables and infrastructures if the powerline is used as a means of communication. However, the powerline is a very hostile channel to communication. Various types of noise, coupled with real-time varying nonlinear loads and frequency selectivity problem makes it a quite challenging channel for communication. In addition, it has been projected that tens of billions of IoT devices will be in use around the world in the next decade and many of these devices will occupy the low voltage powerline channel between the customer indoor environment and the Advanced Metering Infrastructure (AMI) meter outside the building. Hence, this short PLC channel will even be a more challenging communication environment. The focus of this thesis is hardware-based channel characterization of the indoor powerline channel that will be an integral part of the future IoT last mile communication channel. Several nonlinear electrical loads are used to populate the indoor powerline channel of a University building selected for this study. Channel characterization is based on the low-cost TMS320C2000 C28x Digital Signal Processor (DSP). The C28x, is a real-time DSP that is existing in several billions IoT machines worldwide and it is a core DSP in many healthcare devices, in aircrafts, in power system DC motors, in vehicles, in communication and control equipment, etc. Hence, its use is significant in this thesis since solutions developed using the C28x will be useful across several IoT strata. In the next decade, many IoT computation and analytics tasks will be shifted to the edges of IoT networks due to communication spectral shortages resulting from massive data that will be generated due to numerous devices on IoT networks. This new paradigm, called edge computing will require new methods by which existing and newer algorithms will be computed since memory and computing power are scarce resources at edges of IoT networks. Hence, in this thesis, the C28x, in addition to its use for powerline channel characterization, is also programmed, using advanced signal processing methods and open-source programming language, to generate several useful waveforms. This is in a bid to make the C28x, which is existing in several billion IoT machines worldwide to be more useful for SG and IoT edge computing applications. The C28x is made more useful and scalable in this thesis by deploying it as a Function Generator, an Arbitrary Waveforms Generator and a Mother Wavelet Generator. These generators are quite expensive equipment, thus the deployment of C28x DSP as a waveform generator is an important contribution to SG, IoT and Cyber Physical Systems (CPS) edge computing applications, especially for applications requiring low-cost and real time implementations. In addition to baseband waveforms such as ramps and sawtooth signals, several mother wavelets and several arbitrary waveforms are generated. Generated waveforms are then deployed to implement modulation schemes for C28x DSP and to construct linear FIR filters that can be used to reduce signal and data distortion due to channel disturbances when powerline communication is uses an integral part of IoT networks. Other waveforms generated using the C28x DSP include waveforms useful for statistical machine learning, data analytics, artificial intelligence and data science applications in IoT, SG and CPS including Gaussian Mixture Models (GMMs). In all cases of waveform construction for the C28x DSP, it is pointed out that our contribution in this thesis, to the best knowledge of the Author, is the first known application of the C28x DSP for constructing such waveforms.
Author: Nir Shlezinger
Author: Nir Shlezinger
Author: William A. Gardner
Author: Lutz Lampe
Author: Antonio Napolitano
Author: Han, Bin
Author: Jason C. Hung
Author: Veluppillai Balakrishnar Manimohan
Author: Antonio Napolitano
Author: Lars Torsten Berger
Author: Emmanuel Adebomi Oyekanlu