Applications of machine learning in wireless communications

In such an era of big data where data mining and data analysis technologies are effective approaches for wireless system evaluation and design, the applications of machine learning in wireless communications have received a lot of attention recently. Machine learning provides feasible and new soluti...

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Bibliographic Details
Other Authors: He, Ruisi, (Editor), Zhiguo Ding, (Editor)
Format: eBook
Language: English
Published: London, United Kingdom : The Institution of Engineering and Technology, 2019.
Series: IET telecommunications series ; 81.
Subjects:
Wireless communication systems.
Data mining.
Electronic data processing.
Machine learning.
Radio.
Telecommunication > Data processing.
Telematics.
elektronické knihy
electronic books
ISBN: 9781785616587
1785616587
9781523127283
1523127287
1785616579
9781785616570
Physical Description: 1 online resource (xvi, 474 pages)

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Table of contents

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008 190703t20192019enk fob 001 0 eng d
040 |a STF  |b eng  |e pn  |c STF  |d OCLCO  |d UIU  |d OCLCF  |d CUS  |d YDX  |d CNO  |d EBLCP  |d N$T  |d CSA  |d OCLCQ  |d UKAHL  |d SFB  |d OCL  |d CUV  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCL  |d OCLCQ  |d OCLCO  |d OCLCL 
020 |a 9781785616587 
020 |a 1785616587 
020 |a 9781523127283 
020 |a 1523127287 
020 |z 1785616579 
020 |z 9781785616570 
035 |a (OCoLC)1112080671  |z (OCoLC)1137040424 
245 0 0 |a Applications of machine learning in wireless communications /  |c edited by Ruisi He and Zhiguo Ding. 
264 1 |a London, United Kingdom :  |b The Institution of Engineering and Technology,  |c 2019. 
264 4 |c ©2019 
300 |a 1 online resource (xvi, 474 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a IET Telecommunications series ;  |v 81 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a In such an era of big data where data mining and data analysis technologies are effective approaches for wireless system evaluation and design, the applications of machine learning in wireless communications have received a lot of attention recently. Machine learning provides feasible and new solutions for the complex wireless communication system design. It has been a powerful tool and popular research topic with many potential applications to enhance wireless communications, e.g. radio channel modelling, channel estimation and signal detection, network management and performance improvement, access control, resource allocation. However, most of the current researches are separated into different fields and have not been well organized and presented yet. It is therefore difficult for academic and industrial groups to see the potentialities of using machine learning in wireless communications. It is now appropriate to present a detailed guidance of how to combine the disciplines of wireless communications and machine learning. 
504 |a Includes bibliographical references and index. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Wireless communication systems. 
650 0 |a Data mining. 
650 0 |a Electronic data processing. 
650 0 |a Machine learning. 
650 0 |a Radio. 
650 0 |a Telecommunication  |x Data processing. 
650 0 |a Telematics. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a He, Ruisi,  |e editor. 
700 1 |a Zhiguo Ding,  |e editor. 
776 0 8 |i Print version:  |t Applications of machine learning in wireless communications.  |d London, United Kingdom : The Institution of Engineering and Technology, 2019  |z 1785616579  |w (OCoLC)1084807888 
830 0 |a IET telecommunications series ;  |v 81. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpAMLWC004/applications-of-machine?kpromoter=marc  |y Full text 

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