Low-overhead Communications in IoT Networks (Record no. 77560)
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| 000 -LEADER | |
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| fixed length control field | 03794nam a22005535i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-981-15-3870-4 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801215514.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200417s2020 si | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789811538704 |
| -- | 978-981-15-3870-4 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 620 |
| 100 1# - AUTHOR NAME | |
| Author | Shi, Yuanming. |
| 245 10 - TITLE STATEMENT | |
| Title | Low-overhead Communications in IoT Networks |
| Sub Title | Structured Signal Processing Approaches / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XIV, 152 p. 350 illus., 19 illus. in color. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Chapter 1. Introduction -- Chapter 2. Sparse Linear Model -- Chapter 3. Blind Demixing -- Chapter 4. Sparse Blind Demixing -- Chapter 5. Shuffled Linear Regression -- Chapter 6. Learning Augmented Methods -- Chapter 7. Conclusions and Discussions -- Chapter 8. Appendix. . |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.g., smart cities, mobile healthcare, autonomous driving and drones. A common feature of these applications is the stringent requirements for low-latency communications. Considering the typical small payload size of IoT applications, it is of critical importance to reduce the size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead communications also help to improve the energy efficiency of IoT devices. Recently, structured signal processing techniques have been introduced and developed to reduce the overheads for key design problems in IoT networks, such as channel estimation, device identification, and message decoding. By utilizing underlying system structures, including sparsity and low rank, these methods can achieve significant performance gains. This book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind demixing model, and a shuffled linear model, and discusses their applications in enabling low-overhead communications in IoT networks. Further, it presents practical algorithms based on both convex and nonconvex optimization approaches, as well as theoretical analyses that use various mathematical tools. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Dong, Jialin. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Zhang, Jun. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-981-15-3870-4 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Singapore : |
| -- | Springer Nature Singapore : |
| -- | Imprint: Springer, |
| -- | 2020. |
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| -- | computer |
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| -- | online resource |
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| 347 ## - | |
| -- | text file |
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| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer networks . |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine learning. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Technology and Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Engineering and Networks. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine Learning. |
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| -- | ZDB-2-ENG |
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| -- | ZDB-2-SXE |
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