A New QoS Provisioning Method for Adaptive Multimedia in Wireless Networks
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[1] Yanghee Choi,et al. Near optimal bandwidth adaptation algorithm for adaptive multimedia services in wireless/mobile networks , 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).
[2] Bin Wang,et al. Bandwidth degradation QoS provisioning for adaptive multimedia in wireless/mobile networks , 2002, Comput. Commun..
[3] Stephen S. Rappaport,et al. Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedures , 1986, IEEE Transactions on Vehicular Technology.
[4] F. Beutler,et al. Time-average optimal constrained semi-Markov decision processes , 1986, Advances in Applied Probability.
[5] Theodore S. Rappaport,et al. Wireless communications - principles and practice , 1996 .
[6] Sridhar Mahadevan,et al. Average reward reinforcement learning: Foundations, algorithms, and empirical results , 2004, Machine Learning.
[7] Yan Wang,et al. Optimal Admission Control for Multi-Class of Wireless Adaptive Multimedia Services , 2001 .
[8] Yiwei Thomas Hou,et al. Scalable video coding and transport over broadband wireless networks , 2001, Proc. IEEE.
[9] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[10] John N. Tsitsiklis,et al. Neuro-Dynamic Programming , 1996, Encyclopedia of Machine Learning.
[11] Sajal K. Das,et al. A Prioritized Real-Time Wireless Call Degradation Framework for Optimal Call Mix Selection , 2002, Mob. Networks Appl..
[12] U. Rieder,et al. Markov Decision Processes , 2010 .
[13] Itu-T. Video coding for low bitrate communication , 1996 .
[14] Victor C. M. Leung,et al. Efficient QoS Provisioning for Adaptive Multimedia in Mobile Communication Networks by Reinforcement Learning , 2004, First International Conference on Broadband Networks.
[15] Timothy X. Brown,et al. Adaptive call admission control under quality of service constraints: a reinforcement learning solution , 2000, IEEE Journal on Selected Areas in Communications.
[16] Stephen S. Rappaport,et al. Traffic Model and Performance Analysis for Cellular Mobile Radio Telephone Systems with Prioritized and Nonprioritized Handoff Procedures - Version 2a , 2000 .
[17] Martin L. Puterman,et al. Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .
[18] B. R. Badrinath,et al. QoS provisioning for adaptive services with degradation in cellular network , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..
[19] Michael Kearns,et al. Near-Optimal Reinforcement Learning in Polynomial Time , 2002, Machine Learning.
[20] S. Haykin,et al. A Q-learning-based dynamic channel assignment technique for mobile communication systems , 1999 .
[21] Bo Li,et al. A dynamic call admission policy with precision QoS guarantee using stochastic control for mobile wireless networks , 2002, TNET.
[22] John N. Tsitsiklis,et al. Call admission control and routing in integrated services networks using neuro-dynamic programming , 2000, IEEE Journal on Selected Areas in Communications.
[23] B. R. Badrinath,et al. Rate adaptation schemes in networks with mobile hosts , 1998, MobiCom '98.
[24] Chung-Ju Chang,et al. Q-learning-based multirate transmission control scheme for RRM in multimedia WCDMA systems , 2004, IEEE Transactions on Vehicular Technology.
[25] Dimitri P. Bertsekas,et al. Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems , 1996, NIPS.
[26] John Moody,et al. Learning rate schedules for faster stochastic gradient search , 1992, Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop.
[27] F. Beutler,et al. Optimal policies for controlled markov chains with a constraint , 1985 .
[28] Vivek S. Borkar,et al. Learning Algorithms for Markov Decision Processes with Average Cost , 2001, SIAM J. Control. Optim..
[29] Yanghee Choi,et al. QoS Provisioning in Wireless/Mobile Multimedia Networks Using an Adaptive Framework , 2003, Wirel. Networks.
[30] Kang G. Shin,et al. Analysis of combined adaptive bandwidth allocation and admission control in wireless networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.
[31] Djamal Zeghlache,et al. A distributed reinforcement learning approach to maximize resource utilization and control handover dropping in multimedia wireless networks , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.
[32] Yi-Bing Lin,et al. The sub-rating channel assignment strategy for PCS hand-offs , 1996 .
[33] K. Rijkse,et al. H.263: video coding for low-bit-rate communication , 1996, IEEE Commun. Mag..
[34] Abhijit Gosavi,et al. An algorithm for solving semi-markov decision problems using reinforcement learning: convergence analysis and numerical results , 1999 .
[35] Avideh Zakhor,et al. A common framework for rate and distortion based scaling of highly scalable compressed video , 1996, IEEE Trans. Circuits Syst. Video Technol..
[36] S. Mahadevan,et al. Solving Semi-Markov Decision Problems Using Average Reward Reinforcement Learning , 1999 .
[37] Tapas K. Das,et al. A reinforcement learning approach to a single leg airline revenue management problem with multiple fare classes and overbooking , 2002 .
[38] Abhijit Gosavi,et al. Reinforcement learning for long-run average cost , 2004, Eur. J. Oper. Res..