| Títol: | An application of reinforcement learning for efficient spectrum usage in next-generation mobile cellular networks |
| Autor: | Bernardo Álvarez, Francisco
Agustí Comes, Ramon
Pérez Romero, Jordi
Sallent Roig, José Oriol |
| Altres autors/autores: | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
| Matèries: | Àrees temàtiques de la UPC::Enginyeria electrònica i telecomunicacions
Cell phones
Signal theory (Telecommunication)
Telefonia mòbil
Senyal, Teoria del (Telecomunicació) |
| Tipus de document: | Article |
| Descripció: | This paper proposes reinforcement learning as a foundational stone of a framework for efficient spectrum usage in the context of nextgeneration mobile cellular networks. The objective of the framework is to efficiently use the spectrum in a cellular orthogonal frequency-division multiple access network while unnecessary spectrum is released for secondary spectrum usage within a private commons spectrum accessmodel. Numerical results show that the proposed framework obtains the best performance compared with other approaches for spectrum assignment. Moreover, the framework is relatively simple to implement in terms of computational requirements and signaling overhead. |
| Altres identificadors i accés: | Bernardo, F. [et al.]. An application of reinforcement learning for efficient spectrum usage in next-generation mobile cellular networks. "IEEE transactions on systems man and cybernetics Part C-applications and reviews", Juliol 2010, vol. 40, núm. 4, p. 477-484.
1094-6977
http://hdl.handle.net/2117/8321
10.1109/TSMCC.2010.2041230 |
| Disponible al dipòsit: | E-prints UPC
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