Artificial Intelligence (AI) Enabled NOMA

Yuanwei Liu, Zhijin Qin, Zhiguo Ding

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations


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.

Original languageBritish English
Title of host publicationSpringerBriefs in Computer Science
Number of pages6
StatePublished - 2020

Publication series

NameSpringerBriefs in Computer Science
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776


Dive into the research topics of 'Artificial Intelligence (AI) Enabled NOMA'. Together they form a unique fingerprint.

Cite this