Optimal Bandwidth Reservation in Multiservice Mobile Cellular Networks with Movement Prediction(Terrestrial Radio Communications)
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概要
- 論文の詳細を見る
We study the impact of incorporating handoff prediction information in the session admission control process in mobile cellular networks. We evaluate the performance of optimal policies obtained with and without the predictive information, while taking into account possible prediction errors. Two different approaches to compute the optimal admission policy were studied : dynamic programming and reinforcement learning. Numerical results show significant performance gains when the predictive information is used in the admission process.
- 社団法人電子情報通信学会の論文
- 2005-10-01
著者
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Martinez Jorge
Dept. Int. Medicine Iics National Asuncion Univ.
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Martinez Jorge
Dept. Of Communications Universidad Politecnica De Valencia (upv)
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Gimenez-guzman Jose
Dept. Of Communications Universidad Politecnica De Valencia (upv)
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Gimenez‐guzman Jose
Universidad Politecnica De Valencia (upv) Valencia Esp
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PLA Vicent
Dept. of Communications, Universidad Politecnica de Valencia (UPV)
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CASARES-GINER Vicente
Dept. of Communications, Universidad Politecnica de Valencia (UPV)
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Pla Vicent
Universidad Politecnica De Valencia (upv) Valencia Esp
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Pla Vicent
Dept. Of Communications Universidad Politecnica De Valencia (upv)
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Casares-giner Vicente
Dept. Of Communications Universidad Politecnica De Valencia (upv)
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- A Reinforcement Learning Approach for Admission Control in Mobile Multimedia Networks with Predictive Information(Network)
- Optimal Bandwidth Reservation in Multiservice Mobile Cellular Networks with Movement Prediction(Terrestrial Radio Communications)