Wireless Communications

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J.l. Cheng - One of the best experts on this subject based on the ideXlab platform.

  • A Survey of Underwater Optical Wireless Communications
    IEEE Communications Surveys and Tutorials, 2017
    Co-Authors: Zhaoquan Zeng, Shu Fu, Yuhan Dong, Huihui Zhang, J.l. Cheng
    Abstract:

    Underwater Wireless Communications refer to data transmission in unguided water environment through Wireless carriers, i.e., radio-frequency (RF) wave, acoustic wave, and optical wave. In comparison to RF and acoustic counterparts, underwater optical Wireless communication (UOWC) can provide a much higher transmission bandwidth and much higher data rate. Therefore, we focus, in this paper, on the UOWC that employs optical wave as the transmission carrier. In recent years, many potential applications of UOWC systems have been proposed for environmental monitoring, offshore exploration, disaster precaution, and military operations. However, UOWC systems also suffer from severe absorption and scattering introduced by underwater channels. In order to overcome these technical barriers, several new system design approaches, which are different from the conventional terrestrial free-space optical communication, have been explored in recent years. We provide a comprehensive and exhaustive survey of the state-of-the-art UOWC research in three aspects: 1) channel characterization; 2) modulation; and 3) coding techniques, together with the practical implementations of UOWC.

  • Emerging Optical Wireless Communications-Advances and Challenges
    IEEE Journal on Selected Areas in Communications, 2015
    Co-Authors: Zabih Ghassemlooy, Z Y Xu, Shlomi Arnon, Murat Uysal, J.l. Cheng
    Abstract:

    New data services and applications are emerging continuously and enhancing the mobile broadband experience. The ability to cope with these varied and sophisticated services and applications will be a key success factor for the highly demanding future network infrastructure. One such a technology that could help to address the problem would be the optical Wireless Communications (OWC), which presents a growing research interest in the last few years for indoor and outdoor applications. This paper is an overview of the OWC systems focusing on visible light Communications, free space optics, transcutaneous OWC, underwater

Mohamed-slim Alouini - One of the best experts on this subject based on the ideXlab platform.

  • applying deep learning based computer vision to Wireless Communications methodologies opportunities and challenges
    arXiv: Signal Processing, 2020
    Co-Authors: Yu Tian, Mohamed-slim Alouini
    Abstract:

    Deep learning (DL) has seen great success in the computer vision (CV) field, and related techniques have been used in security, healthcare, remote sensing, and many other fields. As a parallel development, visual data has become universal in daily life, easily generated by ubiquitous low-cost cameras. Therefore, exploring DL-based CV may yield useful information about objects, such as their number, locations, distribution, motion, etc. Intuitively, DL-based CV can also facilitate and improve the designs of Wireless Communications, especially in dynamic network scenarios. However, so far, such work is rare in the literature. The primary purpose of this article, then, is to introduce ideas about applying DL-based CV in Wireless Communications to bring some novel degrees of freedom to both theoretical research and engineering applications. To illustrate how DL-based CV can be applied in Wireless Communications, an example of using a DL-based CV with a millimeter-wave (mmWave) system is given to realize optimal mmWave multiple-input and multiple-output (MIMO) beamforming in mobile scenarios. In this example, we propose a framework to predict future beam indices from previously observed beam indices and images of street views using ResNet, 3-dimensional ResNext, and a long short-term memory network. The experimental results show that our frameworks achieve much higher accuracy than the baseline method, and that visual data can significantly improve the performance of the MIMO beamforming system. Finally, we discuss the opportunities and challenges of applying DL-based CV in Wireless Communications.

  • applying deep learning based computer vision to Wireless Communications methodologies opportunities and challenges
    arXiv: Signal Processing, 2020
    Co-Authors: Yu Tian, Mohamed-slim Alouini
    Abstract:

    Deep learning (DL) has obtained great success in computer vision (CV) field, and the related techniques have been widely used in security, healthcare, remote sensing, etc. On the other hand, visual data is universal in our daily life, which is easily generated by prevailing but low-cost cameras. Therefore, DL-based CV can be explored to obtain and forecast some useful information about the objects, e.g., the number, locations, distribution, motion, etc. Intuitively, DL-based CV can facilitate and improve the designs of Wireless Communications, especially in dynamic network scenarios. However, so far, it is rare to see such kind of works in the existing literature. Then, the primary purpose of this article is to introduce ideas of applying DL-based CV in Wireless Communications to bring some novel degrees of freedom for both theoretical researches and engineering applications. To illustrate how DL-based CV can be applied in Wireless Communications, an example of using DL-based CV to millimeter wave (mmWave) system is given to realize optimal mmWave multiple-input and multiple-output (MIMO) beamforming in mobile scenarios. In this example, we proposed a framework to predict the future beam indices from the previously-observed beam indices and images of street views by using ResNet, 3-dimensional ResNext, and long short term memory network. Experimental results show that our frameworks can achieve much higher accuracy than the baseline method, and visual data can help significantly improve the performance of MIMO beamforming system. Finally, we discuss the opportunities and challenges of applying DL-based CV in Wireless Communications.

  • underwater optical Wireless Communications networking and localization a survey
    Ad Hoc Networks, 2019
    Co-Authors: Nasir Saeed, Abdulkadir Celik, Tareq Y Alnaffouri, Mohamed-slim Alouini
    Abstract:

    Abstract Underwater Wireless Communications can be carried out through acoustic, radio frequency (RF), and optical waves. Compared to its bandwidth limited acoustic and RF counterparts, underwater optical Wireless Communications (UOWCs) can support higher data rates at low latency levels. However, the severe aquatic channel conditions (e.g., absorption, scattering, turbulence, etc.) pose great challenges for UOWCs and significantly reduce the attainable communication ranges, which necessitates efficient networking and localization solutions. Therefore, we provide a comprehensive survey on the challenges, advances, and prospects of underwater optical Wireless networks (UOWNs) from a layer by layer perspective which includes: (1) Physical layer issues including propagation characteristics, channel modeling, and modulation techniques (2) Data link layer problems covering link configurations, link budgets, performance metrics, and multiple access schemes; (3) Network layer topics containing relaying techniques and potential routing algorithms; (4) Transport layer subjects such as connectivity, reliability, flow and congestion control; (5) Application layer goals, and (6) Localization and its impacts on UOWN layers. Finally, we outline the open research challenges and point out the prospective directions for underwater optical Wireless Communications, networking, and localization studies.

  • Wireless Communications Through Reconfigurable Intelligent Surfaces
    IEEE Access, 2019
    Co-Authors: Ertugrul Basar, Marco Di Renzo, Julien De Rosny, Merouane Debbah, Mohamed-slim Alouini, Rui Zhang
    Abstract:

    The future of mobile Communications looks exciting with the potential new use cases and challenging requirements of future 6th generation (6G) and beyond Wireless networks. Since the beginning of the modern era of Wireless Communications, the propagation medium has been perceived as a randomly behaving entity between the transmitter and the receiver, which degrades the quality of the received signal due to the uncontrollable interactions of the transmitted radio waves with the surrounding objects. The recent advent of reconfigurable intelligent surfaces in Wireless Communications enables, on the other hand, network operators to control the scattering, reflection, and refraction characteristics of the radio waves, by overcoming the negative effects of natural Wireless propagation. Recent results have revealed that reconfigurable intelligent surfaces can effectively control the wavefront, e.g., the phase, amplitude, frequency, and even polarization, of the impinging signals without the need of complex decoding, encoding, and radio frequency processing operations. Motivated by the potential of this emerging technology, the present article is aimed to provide the readers with a detailed overview and historical perspective on state-of-the-art solutions, and to elaborate on the fundamental differences with other technologies, the most important open research issues to tackle, and the reasons why the use of reconfigurable intelligent surfaces necessitates to rethink the communication-theoretic models currently employed in Wireless networks. This article also explores theoretical performance limits of reconfigurable intelligent surface-assisted communication systems using mathematical techniques and elaborates on the potential use cases of intelligent surfaces in 6G and beyond Wireless networks. INDEX TERMS 6G, large intelligent surfaces, meta-surfaces, reconfigurable intelligent surfaces, smart reflect-arrays, software-defined surfaces, Wireless Communications, Wireless networks.

  • Wireless Communications Through Reconfigurable Intelligent Surfaces
    IEEE Access, 2019
    Co-Authors: Ertugrul Basar, Marco Di Renzo, Julien De Rosny, Merouane Debbah, Mohamed-slim Alouini, Rui Zhang
    Abstract:

    The future of mobile Communications looks exciting with the potential new use cases and challenging requirements of future 6th generation (6G) and beyond Wireless networks. Since the beginning of the modern era of Wireless Communications, the propagation medium has been perceived as a randomly behaving entity between the transmitter and the receiver, which degrades the quality of the received signal due to the uncontrollable interactions of the transmitted radio waves with the surrounding objects. The recent advent of reconfigurable intelligent surfaces in Wireless Communications enables, on the other hand, network operators to control the scattering, reflection, and refraction characteristics of the radio waves, by overcoming the negative effects of natural Wireless propagation. Recent results have revealed that reconfigurable intelligent surfaces can effectively control the wavefront, e.g., the phase, amplitude, frequency, and even polarization, of the impinging signals without the need of complex decoding, encoding, and radio frequency processing operations. Motivated by the potential of this emerging technology, the present article is aimed to provide the readers with a detailed overview and historical perspective on state-of-the-art solutions, and to elaborate on the fundamental differences with other technologies, the most important open research issues to tackle, and the reasons why the use of reconfigurable intelligent surfaces necessitates to rethink the communication-theoretic models currently employed in Wireless networks. This article also explores theoretical performance limits of reconfigurable intelligent surface-assisted communication systems using mathematical techniques and elaborates on the potential use cases of intelligent surfaces in 6G and beyond Wireless networks.

Sohail Razzaq - One of the best experts on this subject based on the ideXlab platform.

  • A review of Wireless Communications for smart grid
    Renewable and Sustainable Energy Reviews, 2015
    Co-Authors: Anzar Mahmood, Nadeem Javaid, Sohail Razzaq
    Abstract:

    Smart grid is envisioned to meet the 21st century energy requirements in a sophisticated manner with real time approach by integrating the latest digital Communications and advanced control technologies to the existing power grid. It will connect the global users through energy efficiency and awareness corridor. This paper presents a comprehensive review of Wireless Communications Technologies (WCTs) for implementation of smart grid in a systematic way. Various network attributes like internet protocol (IP) support, power usage, data rate etc. are considered to compare the Communications technologies in smart grid context. Techniques suitable for Home Area Networks (HANs) like ZigBee, Bluetooth, Wi-Fi, 6LoWPAN and Z-Wave are discussed and compared in context of consumer concerns and network attributes. A similar approach in context of utilities concerns is adopted for Wireless Communications techniques for Neighborhood Area Networks (NANs) which include WiMAX and GSM based cellular standards. Smart grid applications, associated network issues and challenges are elaborated at the end.

Ekram Hossain - One of the best experts on this subject based on the ideXlab platform.

  • reliability analysis and redundancy design of smart grid Wireless Communications system for demand side management
    IEEE Wireless Communications, 2012
    Co-Authors: Dusit Niyato, Ping Wang, Ekram Hossain
    Abstract:

    To ensure efficient, continuous, and secure operation of the next generation smart power grid, the reliability of its data Communications system, and in particular, the Wireless Communications system will be crucial. In this article, we present a reliability analysis of the Wireless Communications system in the smart grid to support demand-side management (DSM). The availability performance, which is the probability that the Wireless connectivity between a smart meter to the meter data-management system (MDMS) is available, is obtained given the random failure of the system devices. This availability measure is then used to calculate the cost of power-demand estimation error and damage of power distribution equipment if its failure cannot be reported. At this end, redundancy design approaches are presented to minimize the cost of failure as well as the cost of deployment of the Wireless Communications system in the smart grid.

Zabih Ghassemlooy - One of the best experts on this subject based on the ideXlab platform.

  • An Overview of Optical Wireless Communications
    Optical Wireless Communications, 2016
    Co-Authors: Zabih Ghassemlooy, Fred Moll, V. Ribeiro, Mohammad Ali Khalighi, Stanislav Zvanovec, Murat Uysal, Aniceto Belmonte
    Abstract:

    We are continuously witnessing the emergence of new data services and applications in Wireless transmission systems, in particular mobile broadband services, which require enhancing user’s experience. The existing radio frequency based Wireless Communications are facing challenges in so far as being able to cope with these varied, sophisticated and bandwidth hungry services and applications. The ever evolving optical Wireless Communications (OWC) technology with its unique features such as a license-free frequency spectrum, an inherent security, and significantly higher transmission rates is seen as a potential alternative and complementary to the radio frequency based Wireless Communications, which can address some of these challenges. This technology can be used for short to long distance applications as in indoor visible light Communications, ultra-violet, and free space optics. The chapter gives an overview of the OWC system focusing on the historical development and current status, as well as existing and envisioned applications areas.

  • Emerging Optical Wireless Communications-Advances and Challenges
    IEEE Journal on Selected Areas in Communications, 2015
    Co-Authors: Zabih Ghassemlooy, Z Y Xu, Shlomi Arnon, Murat Uysal, J.l. Cheng
    Abstract:

    New data services and applications are emerging continuously and enhancing the mobile broadband experience. The ability to cope with these varied and sophisticated services and applications will be a key success factor for the highly demanding future network infrastructure. One such a technology that could help to address the problem would be the optical Wireless Communications (OWC), which presents a growing research interest in the last few years for indoor and outdoor applications. This paper is an overview of the OWC systems focusing on visible light Communications, free space optics, transcutaneous OWC, underwater

  • optical Wireless Communications system and channel modelling with matlab
    2012
    Co-Authors: Zabih Ghassemlooy, Wasiu O Popoola, Sujan Rajbhandari
    Abstract:

    Detailing a systems approach, Optical Wireless Communications: System and Channel Modelling with MATLAB, is a self-contained volume that concisely and comprehensively covers the theory and technology of optical Wireless Communications systems (OWC) in a way that is suitable for undergraduate and graduate-level students, as well as researchers and professional engineers. Incorporating MATLAB throughout, the authors highlight past and current research activities to illustrate optical sources, transmitters, detectors, receivers, and other devices used in optical Wireless Communications. They also discuss both indoor and outdoor environments, discussing how different factorsincluding various channel modelsaffect system performance and mitigation techniques. In addition, this book broadly covers crucial aspects of OWC systems: Fundamental principles of OWC Devices and systems Modulation techniques and schemes (including polarization shift keying) Channel models and system performance analysis Emerging visible light Communications Terrestrial free space optics communication Use of infrared in indoor OWC One entire chapter explores the emerging field of visible light Communications, and others describe techniques for using theoretical analysis and simulation to mitigate channel impact on system performance. Additional topics include wavelet denoising, artificial neural networks, and spatial diversity. Content also covers different challenges encountered in OWC, as well as outlining possible solutions and current research trends. A major attraction of the book is the presentation of MATLAB simulations and codes, which enable readers to execute extensive simulations and better understand OWC in general.