6 results on '"Long Luo"'
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2. Signal Processing for 5G: Algorithms and Implementations
- Author
-
Fa-Long Luo, Charlie Jianzhong Zhang, Fa-Long Luo, Charlie Jianzhong Zhang
- Published
- 2016
3. Metasurfaces for Wireless Communications : Designs and Implementations
- Author
-
Yifei Yuan, Yuhong Huang, Fa-Long Luo, Yifei Yuan, Yuhong Huang, and Fa-Long Luo
- Subjects
- Metasurfaces, Wireless communication systems--Design and construction
- Abstract
This book provides a comprehensive coverage of reconfigurable intelligent surface (RIS) based wireless communications by covering all the technology stages from working principles, theories and algorithms, system architectures, real-world implementations, and programming platforms through performance measurements and system testing. Metasurfaces for Wireless Communications: Designs and Implementations serves as a must-be read for everything related to the use of RIS in wireless networks. Authored by three experts in the field, the book is organized into five in-depth and well-designed chapters. The first chapter discusses the fundamentals of metasurfaces for wireless communications as well as the related evolution and requirements of RIS in 6G. The second chapter is devoted to the modeling and analyses of RIS for wireless communications by including electromagnetic field modeling and theoretical analyses of both large- and small-scale channel models. In Chapter 3, the authors mainly address properties'characterizations and system design of metasurface devices. Chapter 4 examines relay and system implementations of RIS for wireless communications through basic system models, key design aspects, and system simulations and architectures. Chapter 5 discusses the standardization of RIS-aided wireless communications by providing an overview of the relay technologies, field trials, and roadmaps in 3GPP standardizations.This book serves not only as a comprehensive reference for professional engineers, researchers, manufacturers, network operators, software developers, service providers, and regulatory bodies aiming at the development, standardization, deployment, and applications of B5G and 6G mobile communications, but also as a textbook for graduate students in circuits, signal processing, wireless communications, information theory, microwave technology, and antenna and propagation.
- Published
- 2024
4. Machine Learning for Future Wireless Communications
- Author
-
Fa-Long Luo and Fa-Long Luo
- Subjects
- Wireless communication systems, Machine learning, Neural networks (Computer science)
- Abstract
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
- Published
- 2020
5. Digital Front-End in Wireless Communications and Broadcasting : Circuits and Signal Processing
- Author
-
Fa-Long Luo and Fa-Long Luo
- Subjects
- Radio circuits, Radio--Transmitters and transmission, Digital communications, Signal processing--Digital techniques
- Abstract
Covering everything from signal processing algorithms to integrated circuit design, this complete guide to digital front-end is invaluable for professional engineers and researchers in the fields of signal processing, wireless communication and circuit design. Showing how theory is translated into practical technology, it covers all the relevant standards and gives readers the ideal design methodology to manage a rapidly increasing range of applications. Step-by-step information for designing practical systems is provided, with a systematic presentation of theory, principles, algorithms, standards and implementation. Design trade-offs are also included, as are practical implementation examples from real-world systems. A broad range of topics is covered, including digital pre-distortion (DPD), digital up-conversion (DUC), digital down-conversion (DDC) and DC-offset calibration. Other important areas discussed are peak-to-average power ratio (PAPR) reduction, crest factor reduction (CFR), pulse-shaping, image rejection, digital mixing, delay/gain/imbalance compensation, error correction, noise-shaping, numerical controlled oscillator (NCO) and various diversity methods.
- Published
- 2011
6. Mobile Multimedia Broadcasting Standards : Technology and Practice
- Author
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Fa-Long Luo and Fa-Long Luo
- Subjects
- Digital communications, Signal processing--Digital techniques, Convergence (Telecommunication), Mobile communication systems, Multimedia communications, Broadcast data systems
- Abstract
Mobile multimedia broadcasting compasses a broad range of topics including radio propagation, modulation and demodulation, error control, signal compression and coding, transport and time slicing, system on chip real-time implementation in ha- ware, software and system levels. The major goal of this technology is to bring multimedia enriched contents to handheld devices such as mobile phones, portable digital assistants, and media players through radio transmission or internet pro- col (IP) based broadband networks. Research and development of mobile multi- dia broadcasting technologies are now explosively growing and regarded as new killer applications. A number of mobile multimedia broadcasting standards related to transmission, compression and multiplexing now coexist and are being ext- sively further developed. The development and implementation of mobile multi- dia broadcasting systems are very challenging tasks and require the huge efforts of the related industry, research and regulatory authorities so as to bring the success. From an implementation design and engineering practice point of view, this book aims to be the?rst single volume to provide a comprehensive and highly coherent treatment for multiple standards of mobile multimedia broadcasting by covering basic principles, algorithms, design trade-off, and well-compared implementation system examples. This book is organized into 4 parts with 22 chapters.
- Published
- 2009
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