Ultra-Reliable and Low-Latency Communications (URLLC) Theory and Practice (eBook)
368 Seiten
Wiley (Verlag)
978-1-119-81833-5 (ISBN)
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.
Preface vii
List of Contributors ix
1 URLLC: Faster, Higher, Stronger, and Together 1
Changyang She, Trung Q. Duong, Saeed R. Khosravirad, Petar Popovski, Mehdi Bennis, and Tony Q.S. Quek
2 Statistical Characterization of URLLC: Frequentist and Bayesian Approaches 15
Tobias Kallehauge, Pablo Ramirez-Espinosa, Anders E. Kalør, and Petar Popovski
3 Characterizing and Taming the Tail in URLLC 61
Chen-Feng Liu, Yung-Lin Hsu, Mehdi Bennis, and Hung-Yu Wei
4 Unsupervised Deep Learning for Optimizing Wireless Systems with Instantaneous and Statistic Constraints 85
Chengjian Sun, Changyang She, and Chenyang Yang
5 Channel Coding and Decoding Schemes for URLLC 119
Chentao Yue, Mahyar Shirvanimoghaddam, Branka Vucetic, and Yonghui li
6 Sparse Vector Coding for Ultra-reliable and Low-latency Communications 169
Byonghyo Shim
7 Network Slicing for URLLC 215
Peng Yang, Xing Xi, Tony Q. S. Quek, Jingxuan Chen, Xianbin Cao, and Dapeng Wu
8 Beamforming Design for Multi-user Downlink OFDMA-URLLC Systems 241
Walid R. Ghanem, Vahid Jamali, Yan Sun, and Robert Schober
9 A Full-Duplex Relay System for URLLC with Adaptive Self-Interference Processing 259
Hanjun Duan, Yufei Jiang, Xu Zhu, and Fu-Chun Zheng
10 Mobility Prediction for Reducing End-to-End Delay in URLLC 291
Zhanwei Hou, Changyang She, Yonghui Li, and Branka Vucetic
11 Relay Robot-Aided URLLC in 5G Factory Automation with Industrial IoTs 321
Dang Van Huynh, Saeed R. Khosravirad, Yuexing Peng, Antonino Masaracchia, and Trung Q. Duong
Index 343
Erscheint lt. Verlag | 14.3.2023 |
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Sprache | englisch |
Themenwelt | Technik ► Elektrotechnik / Energietechnik |
Schlagworte | Communication technology • Communication Technology - Networks • Drahtlose Kommunikation • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Kommunikationsnetz • Kommunikationsnetze • Kommunikationstechnik • Mobile & Wireless Communications |
ISBN-10 | 1-119-81833-8 / 1119818338 |
ISBN-13 | 978-1-119-81833-5 / 9781119818335 |
Haben Sie eine Frage zum Produkt? |
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