Artificial Intelligence (AI) Enabled NOMA

  • Yuanwei Liu
  • Zhijin Qin
  • Zhiguo Ding
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)


Recently, machine learning has been extensively applied in various areas including wireless communications. The more recent work has shown the power of deep learning in physical layer communications (Qin et al., IEEE Wireless Commun 26:93–99, 2019) and resource allocation (Ye et al., IEEE Veh Technol Mag 13:94–101, 2018). In this chapter, we will discuss the adaptive NOMA enabled by artificial intelligence AI and the new application of NOMA in the unmanned aerial vehicle (UAV) networks, with the goal to provide a potential solution to realize UAV networks with NOMA.


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Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Yuanwei Liu
    • 1
  • Zhijin Qin
    • 1
  • Zhiguo Ding
    • 2
  1. 1.LondonUK
  2. 2.ManchesterUK

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