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    Ultra-Reliable and Low-Latency Communications (URLLC) Theory and Practice

    Advances in 5G and Beyond

    AvTrung Q. Duong,Trung Q. Duong

    Inbunden, Engelska, 2023

    1 354 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Ultra-Reliable and Low-Latency Communications (URLLC) Theory and Practice Comprehensive resource presenting important recent advances in wireless communications for URLLC services, including device-to-device communication, multi-connectivity, and more Ultra-Reliable and Low-Latency Communications (URLLC) Theory and Practice discusses the typical scenarios, possible solutions, and state-of-the-art techniques that enable URLLC in different perspectives from the physical layer to higher-level approaches, aiming to tackle URLLC’s challenges with both theoretical and practical approaches, which bridges the lacuna between theory and practice. With long-term contributions to the development of future wireless networks, the text systematically presents a thorough study of the novel and innovative paradigm of URLLC; basic requirements are covered, along with essential definitions, state-of-the-art technologies, and promising research directions of URLLC. To aid in reader comprehension, tables, figures, design schematics, and examples are provided to illustrate abstract engineering concepts and make the text more accessible to a broader readership, and corresponding case studies are included in the last part of the book. Fundamental problems in URLLC, including designing building blocks for URLLC, radio resource management in URLLC, resource optimization, network availability guarantee, and coexisting with other future mobile networks, are also discussed. In Ultra-Reliable and Low-Latency Communications (URLLC) Theory and Practice, readers can expect to find detailed information on: BCH and analog codes, stable matching, OFDM demodulation and turbo coding, and semi-blind receivers for URLLCMIMO-NOMA with URLLC, PHY and MAC layer technologies for URLLC, and Network slicing or SDN for URLLC and eMBBIntegrating theoretical knowledge into deep learning for URLLC, Energy-Latency tradeoff in URLLC, and Downlink transmission for URLLC under physical layer aspectsResource allocation for multi-user downlink URLLC, HARQ optimization for 5G URLLC, and Multi-Access edge computing with URLLCA unique resource with comprehensive yet accessible coverage of a complicated subject, Ultra-Reliable and Low-Latency Communications (URLLC) Theory and Practice is an ideal resource for a large and diverse population of researchers and practitioners in engineering, computer scientists, and senior undergraduate and graduate students in related programs of study.

    Produktinformation

    • Utgivningsdatum:2023-04-17
    • Mått:170 x 244 x 27 mm
    • Vikt:680 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:368
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781119818304

    Utforska kategorier

    • Elektronik och kommunikationer inom Naturvetenskap och teknik
    • Tillverkningsteknik inom Naturvetenskap och teknik

    Mer om författaren

    Trung Q. Duong is a Chair Professor of Telecommunications, School of Electronics, Electrical Engineering and Computer Science at Queen’s University Belfast, UK and a Research Chair of Royal Academy of Engineering. He is a Fellow of the IEEE. Saeed R. Khosravirad is a Member of Technical Staff at Nokia Bell Labs, Murray Hill, NJ, USA. He is currently leading research projects in Bell Labs investigating various aspects of radio access for industrial IoT. Changyang She is a Research Associate with The University of Sydney, Australia. He is serving as the Australian Research Council, Discovery Early Career Researcher Award (DECRA) Fellow at the University of Sydney. Petar Popovski is a Professor at Aalborg University, Denmark. He is Villum Investigator, previous holder of a Consolidator Grant (2015-2020) from the European Research Council (ERC) and a recipient of the Danish Elite Researcher Award (2016). He is a Fellow of the IEEE. Mehdi Bennis is a Full Professor at the Centre for Wireless Communications, University of Oulu, Finland. Dr Bennis is a Specialty Chief Editor for Data Science for Communications in the Frontiers in Communications and Networks journal. He is a Fellow of the IEEE. Tony Q.S. Quek is a Full Professor at Singapore University of Technology and Design (SUTD). He is also the Director of Future Communications R&D Programme, ISTD Pillar Head, Sector Lead of SUTD AI Program, and Deputy Director of the SUTD-ZJU IDEA. He is a Fellow of the IEEE.

    Innehållsförteckning

    • Preface viiList of Contributors ix1 URLLC: Faster, Higher, Stronger, and Together 1Changyang She, Trung Q. Duong, Saeed R. Khosravirad, Petar Popovski, Mehdi Bennis, and Tony Q.S. Quek2 Statistical Characterization of URLLC: Frequentist and Bayesian Approaches 15Tobias Kallehauge, Pablo Ramirez-Espinosa, Anders E. Kalør, and Petar Popovski3 Characterizing and Taming the Tail in URLLC 61Chen-Feng Liu, Yung-Lin Hsu, Mehdi Bennis, and Hung-Yu Wei4 Unsupervised Deep Learning for Optimizing Wireless Systems with Instantaneous and Statistic Constraints 85Chengjian Sun, Changyang She, and Chenyang Yang5 Channel Coding and Decoding Schemes for URLLC 119Chentao Yue, Mahyar Shirvanimoghaddam, Branka Vucetic, and Yonghui li6 Sparse Vector Coding for Ultra-reliable and Low-latency Communications 169Byonghyo Shim7 Network Slicing for URLLC 215Peng Yang, Xing Xi, Tony Q. S. Quek, Jingxuan Chen, Xianbin Cao, and Dapeng Wu8 Beamforming Design for Multi-user Downlink OFDMA-URLLC Systems 241Walid R. Ghanem, Vahid Jamali, Yan Sun, and Robert Schober9 A Full-Duplex Relay System for URLLC with Adaptive Self-Interference Processing 259Hanjun Duan, Yufei Jiang, Xu Zhu, and Fu-Chun Zheng10 Mobility Prediction for Reducing End-to-End Delay in URLLC 291Zhanwei Hou, Changyang She, Yonghui Li, and Branka Vucetic11 Relay Robot-Aided URLLC in 5G Factory Automation with Industrial IoTs 321Dang Van Huynh, Saeed R. Khosravirad, Yuexing Peng, Antonino Masaracchia, and Trung Q. DuongIndex 343