Reinforcement Learning for Dynamic Spectrum Management in WCDMA

Reinforcement Learning for Dynamic Spectrum Management in WCDMA

Low use of licensed spectrum imposes a need for the advanced spectrum management for wise spectrum usage with the release of unneeded frequency bands for the secondary markets and opportunistic access. In this paper we present the possibilities to apply reinforcement learning in WCDMA to enable the...

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Bibliographic Details
Main Authors: R. Agustí, O. Sallent, J. Pérez-Romero, N. Vučević
Format: Article
Language:English
Published: Telecommunications Society, Academic Mind 2009-06-01
Series:Telfor Journal
Subjects:
dynamic spectrum management
reinforcement learning
WCDMA
Online Access:http://journal.telfor.rs/Published/Vol1No1/Vol1No1_A2.pdf

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