Massive IoT Access for 6G
Springer Verlag, Singapore
978-981-19-2706-5 (ISBN)
Zhen Gao (Member, IEEE) received the B.S. degree in information engineering from the Beijing Institute of Technology, Beijing, China, in July 2011, and the Ph.D. degree in information and communication engineering from Department of Electronic Engineering, Tsinghua University, China, in July 2016. From 2014 to 2015, he visited the Communications and Signal Processing Group, Imperial College London, U.K., for nearly one year. He is currently an Associate Professor with the Advanced Research Institute of Multidisciplinary Science (ARIMS) and the School of Information and Electronics, Beijing Institute of Technology, Beijing, China. His research interests are in wireless communications, with a focus on multicarrier modulations, multiple antenna systems, and sparse signal processing. He was a recipient of the Scott Helt Memorial Award (IEEE Trans. Broadcast. Best Paper) from IEEE Broadcast Technology Society in 2016, the IET Electronics Letters Premium Award (Best Paper), in 2016, the Exemplary Reviewer of the IEEE Communications Letters, in 2016, the Academic Star of Tsinghua University, in 2016, and the Young Elite Scientists Sponsorship Program from the China Association for Science and Technology (2018~2020), Elsevier 2020 Most Cited Chinese Researchers. He currently serves as an Associate Editor for IEEE Communications Letters and IEEE Systems Journal.
Introduction.- Grant-Free Massive Access in Cellular Massive MIMO Systems.- Grant-Free Massive Access in Cell-Free Massive MIMO Systems.- Massive IoT Access over High-Altitude Platform Networks.- JMassive Access in Media Modulation-Based Massive Machine-Type Communications.- Joint Activity and Data Detection for Grant-Free Massive Access.
Erscheinungsdatum | 04.07.2023 |
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Zusatzinfo | 1 Illustrations, black and white; XI, 174 p. 1 illus. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Nachrichtentechnik | |
Schlagworte | activity detection • cell-free massive MIMO • Channel Estimation • grant-free • Massive access • massive IoT connectivity • massive machine-type communications • Non-orthogonal multiple access • Structured Sparsity |
ISBN-10 | 981-19-2706-5 / 9811927065 |
ISBN-13 | 978-981-19-2706-5 / 9789811927065 |
Zustand | Neuware |
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