Applications of machine learning in wireless communications

• 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)
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

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.