Machine learning for future wireless communications / Dr. Fa-Long Luo.
By: Luo, Fa-Long [author.].
Description: pages cm.ISBN: 9781119562252.Subject(s): Wireless communication systems | Machine learning | Neural networks (Computer science)Additional physical formats: Online version:: Machine learning for future wireless communicationsDDC classification: 621.3840285/631 Online resources: Full-text here Summary: "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"--| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| Book | Skoltech library Shelves | TK5103.2 .L86 2019 (Browse shelf) | Available | 2000007580 | ||
| Book | Skoltech library Shelves | TK5103.2 .L86 2019 (Browse shelf) | Available | 2000007540 |
Browsing Skoltech library Shelves , Shelving location: Shelves Close shelf browser
| TK5103.2.D15 5G NR : | TK5103.2 .G65 2005 Wireless communications / | TK5103.2 .G65 2005 Wireless communications / | TK5103.2 .L86 2019 Machine learning for future wireless communications / | TK5103.2 .L86 2019 Machine learning for future wireless communications / | TK5103.2 .T74 2005 Fundamentals of wireless communication / | TK5103.2 .T74 2005 Fundamentals of wireless communication / |
Includes bibliographical references.
"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"--
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