A mobile transmission strategy, PMPatching (Proxy-based Mobile Patching) transmission strat-egy is proposed, it applies to the proxy-based mobile streaming media system in Wideband Code Division Multiple Access (WCDMA...A mobile transmission strategy, PMPatching (Proxy-based Mobile Patching) transmission strat-egy is proposed, it applies to the proxy-based mobile streaming media system in Wideband Code Division Multiple Access (WCDMA) network. Performance of the whole system can be improved by using patching stream to transmit anterior part of the suffix that had been played back, and by batching all the demands for the suffix arrived in prefix period and patching stream transmission threshold period. Experimental results show that this strategy can efficiently reduce average network transmission cost and number of channels consumed in central streaming media server.展开更多
For Peer-to-Peer (P2P) streaming services in mobile networks, the selection of appropriate neighbour peers from candidate peers with demanding data is an important approach to improve Quality-of-Service (QoS). This pa...For Peer-to-Peer (P2P) streaming services in mobile networks, the selection of appropriate neighbour peers from candidate peers with demanding data is an important approach to improve Quality-of-Service (QoS). This paper proposes a novel Effective Capacity Peer Selection (ECPS) scheme based on effective capacity. In the ECPS scheme, the neighbour peer selection problem was modeled using the Multiple Attribute Decision Making (MADM) theory, which considered multiple factors of candidate peers, including Signal to Interference and Noise Ratio (SINR), residency time, power level, security, moving speed, and effective capacity. This model could increase the suitability of ECPS for wireless mobile environments. Then, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to solve the MADM problem and identify the preferred neighbour peers. Simulation results show that the ECPS scheme can improve the network throughput, reduce packet delay by about 82%, and almost double the packet delivery ratio of the mobile P2P streaming service.展开更多
The increasing demand for high-definition live video streaming services on mobile devices is often hindered by unstable network conditions and limited computational capabilities.To address these issues,we introduce an...The increasing demand for high-definition live video streaming services on mobile devices is often hindered by unstable network conditions and limited computational capabilities.To address these issues,we introduce an adaptive video super-resolution(VSR)based mobile live streaming method,MOBLIVE.The core idea of MOBLIVE is to selectively offload regions of video frames that critically influence user perception quality to the server-side VSR model for enhancement.To further improve the video quality,we deploy a predictive model to choose the optimal VSR model for each selected region.Additionally,we employ an adaptive graphics processing unit(GPU)scheduling strategy that optimizes the allocation of multiple VSR tasks across multiple GPUs.Experimental results show that our approach outperforms the state-of-the-art method in video multi-method assessment fusion(VMAF)and reduces the latency by an average of 73.7%in the typical networking environment.展开更多
基金Supported by: (1) Specialized Research Fund for the Doctoral Program of Higher Education (No. 20030013006) (2) National Specialized R&D Project for the Product of Mobile Communications (Develop-ment and Application of Next Generation Mobile Intel-ligent Network)+3 种基金 (3) Development Fund Key Project for Electronic and Information Industry (Core Service Plat-form for Next Generation Network) (4) Development Fund Project for Electronic and Information Industry (Value-added Service Platform and Application System for Mobile Communications) (5) Development Fund Project for Electronic and Information Industry (Con-tent-based Integrated Charging Platform for Telecom-munication Networks) (6) National Specific Project for Hi-tech Industrialization and Information Equipments (Mobile Intelligent Network Supporting Value-added Data Services).
文摘A mobile transmission strategy, PMPatching (Proxy-based Mobile Patching) transmission strat-egy is proposed, it applies to the proxy-based mobile streaming media system in Wideband Code Division Multiple Access (WCDMA) network. Performance of the whole system can be improved by using patching stream to transmit anterior part of the suffix that had been played back, and by batching all the demands for the suffix arrived in prefix period and patching stream transmission threshold period. Experimental results show that this strategy can efficiently reduce average network transmission cost and number of channels consumed in central streaming media server.
基金supported in part by the National Natural Science Foundation of China under Grant No. 60902047the Fundamental Research Funds for the Central Universities under Grant No. BUPT2013RC0111
文摘For Peer-to-Peer (P2P) streaming services in mobile networks, the selection of appropriate neighbour peers from candidate peers with demanding data is an important approach to improve Quality-of-Service (QoS). This paper proposes a novel Effective Capacity Peer Selection (ECPS) scheme based on effective capacity. In the ECPS scheme, the neighbour peer selection problem was modeled using the Multiple Attribute Decision Making (MADM) theory, which considered multiple factors of candidate peers, including Signal to Interference and Noise Ratio (SINR), residency time, power level, security, moving speed, and effective capacity. This model could increase the suitability of ECPS for wireless mobile environments. Then, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to solve the MADM problem and identify the preferred neighbour peers. Simulation results show that the ECPS scheme can improve the network throughput, reduce packet delay by about 82%, and almost double the packet delivery ratio of the mobile P2P streaming service.
基金supported in part by the National Natural Science Foundation of China(No.62372281)the Key Research and Development Program of Shaanxi Province(Nos.2023-YBGY-265 and 2023-YBGY-241)+1 种基金Shaanxi Province 2024 innovation capability support plan(No.2024ZC-KJXX-014)Shaanxi Province Key Industry Innovation Chain Project(No.2020ZDLGY07-05).
文摘The increasing demand for high-definition live video streaming services on mobile devices is often hindered by unstable network conditions and limited computational capabilities.To address these issues,we introduce an adaptive video super-resolution(VSR)based mobile live streaming method,MOBLIVE.The core idea of MOBLIVE is to selectively offload regions of video frames that critically influence user perception quality to the server-side VSR model for enhancement.To further improve the video quality,we deploy a predictive model to choose the optimal VSR model for each selected region.Additionally,we employ an adaptive graphics processing unit(GPU)scheduling strategy that optimizes the allocation of multiple VSR tasks across multiple GPUs.Experimental results show that our approach outperforms the state-of-the-art method in video multi-method assessment fusion(VMAF)and reduces the latency by an average of 73.7%in the typical networking environment.
