Artificial Intelligence for Dynamic Spectrum Management
Ying‐Chang Liang · Signals and communication technology · 2019
In the past decade, a significant advancement has been made in artificial intelligence (AI) research from both theoretical and application perspectives. Researchers have also applied AI techniques, particularly machine learning (ML) algorithms, to DSM, the results of which have shown superior performance as compared to traditional ones. In this chapter, we first provide a brief review on ML techniques. Then we introduce recent applications of ML algorithms to enablers of DSM, which include spectrum sensing, signal classification and dynamic spectrum access.