Competitive Markov decision processes
Competitive Markov decision processes
Structural Properties of Stochastic Dynamic Programs
Operations Research
Introduction to Stochastic Search and Optimization
Introduction to Stochastic Search and Optimization
Discrete-Event Control of Stochastic Networks: Multimodularity and Regularity (Lecture Notes in Mathematics)
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Opportunistic scheduling for streaming multimedia users in high-speed downlink packet access (HSDPA)
IEEE Transactions on Multimedia
IEEE Transactions on Information Theory
Rate Control for H.264 Video With Enhanced Rate and Distortion Models
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
PABM-EDCF: parameter adaptive bi-directional mapping mechanism for video transmission over WSNs
Multimedia Tools and Applications
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This paper considers the scheduling, rate adaptation, and buffer management in a multiuser wireless local-area network (WLAN) where each user transmits scalable video payload. Based on opportunistic scheduling, users access the available medium (channel) in a decentralized manner. The rate adaptation problem of the WLAN multimedia networks is then formulated as a general-sum switching control dynamic Markovian game by modelling the video states and block fading channel qualities of each user as a finite states Markovian chain. A value iteration algorithm is proposed to compute the Nash equilibrium policy of such a game and the convergence of the algorithm is also proved. We also give assumptions on the system so that the Nash equilibrium transmission policy of each user is a randomization of two pure policies with each policy nondecreasing on the buffer state occupancy. Based on this structural result, we use the policy gradient algorithm to compute the Nash equilibrium policy.