Journal article
A Q-learning-based dynamic channel assignment technique for mobile communication systems
Abstract
This paper deals with the problem of channel assignment in mobile communication systems. In particular, we propose an alternative approach to solving the dynamic channel assignment (DCA) problem through a form of real-time reinforcement learning known as Q learning. Instead of relying on a known teacher, the system is designed to learn an optimal assignment policy by directly interacting with the mobile communication environment. The …
Authors
Nie J; Haykin S
Journal
IEEE Transactions on Vehicular Technology, Vol. 48, No. 5, pp. 1676–1687
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
1999
DOI
10.1109/25.790549
ISSN
0018-9545