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019 ▼a 1137040424
020 ▼a 9781785616587
020 ▼a 1785616587
020 ▼z 1785616579
020 ▼z 9781785616570
035 ▼a 2339146 ▼b (N$T)
035 ▼a (OCoLC)1112080671 ▼z (OCoLC)1137040424
040 ▼a STF ▼b eng ▼e pn ▼c STF ▼d OCLCO ▼d UIU ▼d OCLCF ▼d CUS ▼d YDX ▼d CNO ▼d EBLCP ▼d N$T ▼d CSA ▼d 248032
049 ▼a MAIN
050 4 ▼a TK5103.2 ▼b .A67 2019eb
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072 7 ▼a C7410F ▼2 inspec
072 7 ▼a C6170K ▼2 inspec
072 7 ▼a C6130 ▼2 inspec
08204 ▼a 621.3820285631
24500 ▼a Applications of machine learning in wireless communications / ▼c edited by Ruisi He and Zhiguo Ding.
260 ▼a London, United Kingdom : ▼b The Institution of Engineering and Technology, ▼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
4901 ▼a IET Telecommunications series ; ▼v 81
504 ▼a Includes bibliographical references and index.
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.
5880 ▼a Online resource; title from PDF title page (IET, viewed September 19, 2019).
590 ▼a Master record variable field(s) change: 650
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 7 ▼a Data mining. ▼2 fast ▼0 (OCoLC)fst00887946
650 7 ▼a Machine learning. ▼2 fast ▼0 (OCoLC)fst01004795
650 7 ▼a Radio. ▼2 fast ▼0 (OCoLC)fst01087053
650 7 ▼a Telecommunication ▼x Data processing. ▼2 fast ▼0 (OCoLC)fst01145844
650 7 ▼a Wireless communication systems. ▼2 fast ▼0 (OCoLC)fst01176209
650 7 ▼a Big Data. ▼2 inspect
650 7 ▼a data analysis. ▼2 inspect
650 7 ▼a data mining. ▼2 inspect
650 7 ▼a learning (artificial intelligence). ▼2 inspect
650 7 ▼a radiocommunication. ▼2 inspect
650 7 ▼a telecommunication computing. ▼2 inspect
653 ▼a machine learning
653 ▼a wireless communications
653 ▼a Big Data
653 ▼a data mining
653 ▼a data analysis
653 ▼a wireless system evaluation
653 ▼a wireless system design
655 0 ▼a Electronic books.
655 4 ▼a Electronic books.
7001 ▼a He, Ruisi, ▼e editor.
7001 ▼a Zhiguo Ding, ▼e editor.
77608 ▼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.
85640 ▼3 EBSCOhost ▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2339146
938 ▼a ProQuest Ebook Central ▼b EBLB ▼n EBL6026415
938 ▼a YBP Library Services ▼b YANK ▼n 301049516
938 ▼a EBSCOhost ▼b EBSC ▼n 2339146
990 ▼a 관리자
994 ▼a 92 ▼b N$T