A Survey of Machine Learning Algorithms and Their Applications in Cognitive Radio Conference Paper uri icon

abstract

  • Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015. Cognitive radio (CR) technology is a promising candidate for next generation intelligent wireless networks. The cognitive engine plays the role of the brain for the CR and the learning engine is its core. In order to fully exploit the features of CRs, the learning engine should be improved. Therefore, in this study, we discuss several machine learning algorithms and their applications for CRs in terms of spectrum sensing, modulation classification and power allocation.

published proceedings

  • Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

author list (cited authors)

  • Alshawaqfeh, M., Wang, X. u., Ekti, A. R., Shakir, M. Z., Qaraqe, K., & Serpedin, E.

citation count

  • 10

complete list of authors

  • Alshawaqfeh, Mustafa||Wang, Xu||Ekti, Ali Rıza||Shakir, Muhammad Zeeshan||Qaraqe, Khalid||Serpedin, Erchin

editor list (cited editors)

  • Weichold, M., Hamdi, M., Shakir, M. Z., Abdallah, M. M., Karagiannidis, G. K., & Ismail, M.

publication date

  • January 2015