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Intelligent Radio Signal Processing A Survey

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Document pages: 30 pages

Abstract: Intelligent signal processing for wireless communications is a vital task inmodern wireless systems, but it faces new challenges because of networkheterogeneity, diverse service requirements, a massive number of connections,and various radio characteristics. Owing to recent advancements in big data andcomputing technologies, artificial intelligence (AI) has become a useful toolfor radio signal processing and has enabled the realization of intelligentradio signal processing. This survey covers four intelligent signal processingtopics for the wireless physical layer, including modulation classification,signal detection, beamforming, and channel estimation. In particular, eachtheme is presented in a dedicated section, starting with the most fundamentalprinciples, followed by a review of up-to-date studies and a summary. Toprovide the necessary background, we first present a brief overview of AItechniques such as machine learning, deep learning, and federated learning.Finally, we highlight a number of research challenges and future directions inthe area of intelligent radio signal processing. We expect this survey to be agood source of information for anyone interested in intelligent radio signalprocessing, and the perspectives we provide therein will stimulate many morenovel ideas and contributions in the future.

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