An Afterstates Reinforcement Learning Approach to Optimize Admission Control in Mobile Cellular Networks.
José Manuel Giménez-GuzmánJorge Martínez-BausetVicent PlaPublished in: EuroNGI Workshop (2005)
Keyphrases
- admission control
- cellular networks
- mobile users
- reinforcement learning
- mobile networks
- control policy
- call admission control
- end to end
- quality of service
- wireless networks
- mobile devices
- mobile phone
- wifi
- base station
- ad hoc networks
- production system
- resource management
- context aware
- mobile applications
- multi hop
- web server
- state space
- learning algorithm
- resource consumption
- location based services
- markov decision processes
- smart phones
- wireless sensor networks
- information sources
- real time
- dynamic programming
- optimal policy
- mobile nodes
- response time
- multi agent
- blocking probability
- management system