Reinforcement-learning-based call admission control and bandwidth adaptation in mobile multimedia networks

TitleReinforcement-learning-based call admission control and bandwidth adaptation in mobile multimedia networks
Publication TypeConference Paper
Year of Publication2003
AuthorsYu, F., V. W. S. Wong, and V. C. M. Leung
Conference NameInformation, Communications and Signal Processing, 2003 and the 4th Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the 4th International Conference on
Pagination139 - 143 Vol.1
Date Publisheddec.
Keywordsbandwidth adaptation, bandwidth allocation, Markov decision process, Markov processes, mobile communication, mobile communication networks, mobile multimedia networks, multimedia communication, reinforcement-learning-based call admission control, telecommunication congestion control, telecommunication services
Abstract

The availability of bandwidth resources fluctuates much more severely in mobile communication networks compared to wired networks. There is a growing interest in developing adaptive multimedia services in mobile communication networks, where it is possible to increase or decrease the bandwidth of individual ongoing flows. This paper studies the issues of call admission control and bandwidth adaptation in such systems. We present a novel approach that models the system as a Markov decision process, and uses a form of reinforcement learning to solve the call admission control and bandwidth adaptation problems without the knowledge of the state transition probabilities. More realistic assumptions can therefore be applied to the underlying system model for this approach than in the previous schemes. Simulation results demonstrate the effectiveness of the proposed scheme in adaptive multimedia mobile communication networks.

URLhttp://dx.doi.org/10.1109/ICICS.2003.1292429
DOI10.1109/ICICS.2003.1292429

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