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- Title
A learning strategy for paging in mobile environments.
- Authors
Koukoutsidis, I. Z.; Demestichas, P. P.; Theologou, M. E.
- Abstract
The essence of designing a good paging strategy is to incorporate the user mobility characteristics in a predictive mechanism that reduces the average paging cost with as little computational effort as possible. In this scope, we introduce a novel paging scheme based on the concept of reinforcement learning. Learning endows the paging mechanism with the predictive power necessary to determine a mobile terminal's position, without having to extract a location probability distribution for each specific user. The proposed algorithm is compared against a heuristic randomized learning strategy akin to reinforcement learning, that we invented for this purpose, and performs better than the case where no learning is used at all. It is shown that if the user normally moves only among a fraction of cells in the location area, significant savings can be achieved over the randomized strategy, without excessive time to train the network. Copyright © 2003 John Wiley & Sons, Ltd.
- Subjects
MOBILE communication systems; REINFORCEMENT learning; ONLINE algorithms; ELECTRONIC data processing; PAGING (Computer science)
- Publication
Wireless Communications & Mobile Computing, 2003, Vol 3, Issue 8, p975
- ISSN
1530-8669
- Publication type
Article
- DOI
10.1002/wcm.120