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Applications of Machine Learning in Wireless Communications:

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dc.contributor.author He, Ruisi, ed.
dc.contributor.author Zhiguo Ding, ed.
dc.date.accessioned 2019-12-14T23:08:19Z
dc.date.available 2019-12-14T23:08:19Z
dc.date.issued 2019
dc.identifier.uri http://dspace.conacyt.gov.py/xmlui/handle/123456789/35760
dc.description.abstract 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.
dc.format application/pdf
dc.format.extent 1 online resource (492 p.)
dc.language.iso en
dc.publisher IET
dc.relation.ispartofseries Telecommunications
dc.relation.uri http://cicco.idm.oclc.org/login?url=http://dx.doi.org/10.1049/PBTE081E
dc.subject Analysis.
dc.subject Data mining.
dc.subject Data processing.
dc.subject Machine learning.
dc.subject Radio.
dc.subject Telecommunication
dc.subject Wireless communication systems.
dc.subject Big Data.
dc.subject data analysis.
dc.subject data mining.
dc.subject learning (artificial intelligence).
dc.subject radiocommunication.
dc.subject telecommunication computing.
dc.subject.other machine learning
dc.subject.other wireless communications
dc.subject.other Big Data
dc.subject.other data mining
dc.subject.other data analysis
dc.subject.other wireless system evaluation
dc.subject.other wireless system design
dc.title Applications of Machine Learning in Wireless Communications:
dc.type electronic resource
dc.type book
dcterms.bibliographicCitation Applications of Machine Learning in Wireless Communications: / Ruisi He; Zhiguo Ding [Eds].1 online resource (492 p.). Stevenage :IET,2019.
dc.identifier.isbne 9781785616587

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