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| Scheduling Optimization for Scalable Video Streaming Based on Partially Observable Markov Decision Processes |
| FAN Fengjun1,ZOU Junni1，WANG Min1，XIONG Hongkai2 |
| (1.School of Communication and Information Engineering, Shanghai University, Shanghai 200072， China; 2.Institute of Image Communication and Information Processing, Shanghai Jiaotong University, Shanghai 200240， China) |
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Abstract Packet scheduling remains a critical issue for the transmission of scalable video streaming over wireless broadcasting channel. To achieve the optimal receiving video quality, a packet scheduling algorithm based on the optimization strategy of partially observable Markov decision processes (POMDP) was proposed. It adopts POMDP to establish a complete optimization scheduling mathematical model on the condition that the state of the user is uncertain or partially observable. Compared with traditional packet scheduling algorithms, the experimental results show that the proposed scheme can efficiently improve the average PSNR. With the increase of the number of users, the performance of the proposed POMDP model asymptotically approaches to the ideal MDP model in which the state information is completely observable.
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Received: 31 May 2009
Published: 30 March 2010
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