Machine learning for future wireless communications / (Record no. 69179)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03813cam a22006258i 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1110125616 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711203541.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190711s2020 nju ob 001 0 eng |
| 019 ## - | |
| -- | 1131862601 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119562313 |
| -- | (epub) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119562317 |
| -- | (epub) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119562276 |
| -- | (adobe pdf) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119562279 |
| -- | (adobe pdf) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119562306 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119562309 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | (hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | (hardback) |
| 029 1# - (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000065844975 |
| 029 1# - (OCLC) | |
| OCLC library identifier | CHVBK |
| System control number | 582548861 |
| 029 1# - (OCLC) | |
| OCLC library identifier | CHNEW |
| System control number | 001076901 |
| 082 00 - CLASSIFICATION NUMBER | |
| Call Number | 621.3840285/631 |
| 245 00 - TITLE STATEMENT | |
| Title | Machine learning for future wireless communications / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (xxvi, 464 pages) |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Due to its powerful nonlinear mapping and distribution processing capability, deep neural networks based machine learning technology is being considered as a very promising tool to attack the big challenge in wireless communications and networks imposed by the explosively increasing demands in terms of capacity, coverage, latency, efficiency (power, frequency spectrum and other resources), flexibility, compatibility, quality of experience and silicon convergence. Mainly categorized into the supervised learning, the unsupervised learning and the reinforcement learning, various machine learning algorithms can be used to provide a better channel modelling and estimation in millimeter and terahertz bands, to select a more adaptive modulation (waveform, coding rate, bandwidth, and filtering structure) in massive multiple-input and multiple-output (MIMO) technology, to design a more efficient front-end and radio-frequency processing (pre-distortion for power amplifier compensation, beamforming configuration and crest-factor reduction), to deliver a better compromise in self-interference cancellation for full-duplex transmissions and device-to-device communications, and to offer a more practical solution for intelligent network optimization, mobile edge computing, networking slicing and radio resource management related to wireless big data, mission critical communications, massive machine-type communications and tactile internet"-- |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | John Wiley and Sons |
| 700 1# - AUTHOR 2 | |
| Author 2 | Luo, Fa-Long, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1002/9781119562306 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Hoboken, NJ : |
| -- | Wiley-IEEE, |
| -- | 2020. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| -- | Provided by publisher. |
| 588 ## - | |
| -- | Description based on print version record and CIP data provided by publisher; resource not viewed. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Wireless communication systems. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Neural networks (Computer science) |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine learning. |
| -- | (OCoLC)fst01004795 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Neural networks (Computer science) |
| -- | (OCoLC)fst01036260 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Wireless communication systems. |
| -- | (OCoLC)fst01176209 |
| 994 ## - | |
| -- | 92 |
| -- | DG1 |
No items available.