The Experts below are selected from a list of 26109 Experts worldwide ranked by ideXlab platform
Lin Guan - One of the best experts on this subject based on the ideXlab platform.
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Adaptive FEC algorithm based on prediction of video quality and Bandwidth Utilization ratio
Journal of Ambient Intelligence and Humanized Computing, 2010Co-Authors: Jiao Feng, Chi Xuefen, Wang Yining, Lin Guan, Xingang WangAbstract:In this paper, a channel adaptive FEC algorithm is proposed which balances the trade-off between the QoS of video transmission and the Bandwidth Utilization ratio in wireless IP networks. Our algorithm can dynamically adjust to a suboptimal number of FEC redundant packets to cater to the time-varying wireless channel. For the sake of obtaining the suboptimal amount of FEC redundant packets, we derive two analytical models, one is the playable frame rate in MPEG video stream, another is the effective Utilization ratio of FEC. Based on these analytical models, a suboptimal value of redundant packets, which makes both the quality of video stream and the effective Utilization ratio of FEC approximate their maximum, is calculated by predicting the quality of video stream and effective Utilization ratio of FEC under different network conditions (characterized by packet loss probability in this paper). The simulation results indicate that the QoS of wireless video transmission and the Bandwidth Utilization ratio are improved by employing the proposed algorithm.
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adaptive fec algorithm based on prediction of video quality and Bandwidth Utilization ratio
Advanced Information Networking and Applications, 2009Co-Authors: Jiao Feng, Chi Xuefen, Wang Yining, Lin GuanAbstract:This paper proposes a channel error adaptive FEC algorithm to balance the conflict between the QoS of video transmission and the Bandwidth Utilization ratio in wireless IP networks. Two analytic models are derived, one is playable frame rate in MPEG video stream, another is effective Utilization ratio of FEC. Based on these analytic models, quality of video stream and effective Utilization ratio of FEC under different network conditions (presented by packet loss probability in this paper) are predicted. Then optimal amount of redundant packets is calculated and decided, which makes both the quality of video stream and the effective Utilization ratio of FEC approximate their maximum. The simulation results show that the proposed algorithm improves system performance in both the QoS of wireless video transmission and the Utilization of Bandwidth.
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AINA - Adaptive FEC Algorithm Based on Prediction of Video Quality and Bandwidth Utilization Ratio
2009 International Conference on Advanced Information Networking and Applications, 2009Co-Authors: Jiao Feng, Chi Xuefen, Wang Yining, Lin GuanAbstract:This paper proposes a channel error adaptive FEC algorithm to balance the conflict between the QoS of video transmission and the Bandwidth Utilization ratio in wireless IP networks. Two analytic models are derived, one is playable frame rate in MPEG video stream, another is effective Utilization ratio of FEC. Based on these analytic models, quality of video stream and effective Utilization ratio of FEC under different network conditions (presented by packet loss probability in this paper) are predicted. Then optimal amount of redundant packets is calculated and decided, which makes both the quality of video stream and the effective Utilization ratio of FEC approximate their maximum. The simulation results show that the proposed algorithm improves system performance in both the QoS of wireless video transmission and the Utilization of Bandwidth.
Jiao Feng - One of the best experts on this subject based on the ideXlab platform.
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Adaptive FEC algorithm based on prediction of video quality and Bandwidth Utilization ratio
Journal of Ambient Intelligence and Humanized Computing, 2010Co-Authors: Jiao Feng, Chi Xuefen, Wang Yining, Lin Guan, Xingang WangAbstract:In this paper, a channel adaptive FEC algorithm is proposed which balances the trade-off between the QoS of video transmission and the Bandwidth Utilization ratio in wireless IP networks. Our algorithm can dynamically adjust to a suboptimal number of FEC redundant packets to cater to the time-varying wireless channel. For the sake of obtaining the suboptimal amount of FEC redundant packets, we derive two analytical models, one is the playable frame rate in MPEG video stream, another is the effective Utilization ratio of FEC. Based on these analytical models, a suboptimal value of redundant packets, which makes both the quality of video stream and the effective Utilization ratio of FEC approximate their maximum, is calculated by predicting the quality of video stream and effective Utilization ratio of FEC under different network conditions (characterized by packet loss probability in this paper). The simulation results indicate that the QoS of wireless video transmission and the Bandwidth Utilization ratio are improved by employing the proposed algorithm.
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adaptive fec algorithm based on prediction of video quality and Bandwidth Utilization ratio
Advanced Information Networking and Applications, 2009Co-Authors: Jiao Feng, Chi Xuefen, Wang Yining, Lin GuanAbstract:This paper proposes a channel error adaptive FEC algorithm to balance the conflict between the QoS of video transmission and the Bandwidth Utilization ratio in wireless IP networks. Two analytic models are derived, one is playable frame rate in MPEG video stream, another is effective Utilization ratio of FEC. Based on these analytic models, quality of video stream and effective Utilization ratio of FEC under different network conditions (presented by packet loss probability in this paper) are predicted. Then optimal amount of redundant packets is calculated and decided, which makes both the quality of video stream and the effective Utilization ratio of FEC approximate their maximum. The simulation results show that the proposed algorithm improves system performance in both the QoS of wireless video transmission and the Utilization of Bandwidth.
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AINA - Adaptive FEC Algorithm Based on Prediction of Video Quality and Bandwidth Utilization Ratio
2009 International Conference on Advanced Information Networking and Applications, 2009Co-Authors: Jiao Feng, Chi Xuefen, Wang Yining, Lin GuanAbstract:This paper proposes a channel error adaptive FEC algorithm to balance the conflict between the QoS of video transmission and the Bandwidth Utilization ratio in wireless IP networks. Two analytic models are derived, one is playable frame rate in MPEG video stream, another is effective Utilization ratio of FEC. Based on these analytic models, quality of video stream and effective Utilization ratio of FEC under different network conditions (presented by packet loss probability in this paper) are predicted. Then optimal amount of redundant packets is calculated and decided, which makes both the quality of video stream and the effective Utilization ratio of FEC approximate their maximum. The simulation results show that the proposed algorithm improves system performance in both the QoS of wireless video transmission and the Utilization of Bandwidth.
Li Zhuo-qing - One of the best experts on this subject based on the ideXlab platform.
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Routing algorithm based on link Bandwidth Utilization rate
Journal of Computer Applications, 2012Co-Authors: Li Zhuo-qingAbstract:In order to avoid network congestion,concerning that the current algorithms have not considered the aspects of network flow distribution and user's perception,a routing algorithm which can realize maximum load balance was proposed.The algorithm can decrease the maximal Bandwidth Utilization rate of network with delay guaranteed.The experiment based on real Abilene2 network topology shows that the proposed algorithm can alleviate the network congestion and improve the network Utilization rate over 50% effectively.Compared with the existing algorithms,the proposed algorithm can meet two requirements of the Bandwidth Utilization and network delay.In addition,by adjusting the parameter values it can meet different business requirements in actual networks.
Wang Yining - One of the best experts on this subject based on the ideXlab platform.
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Adaptive FEC algorithm based on prediction of video quality and Bandwidth Utilization ratio
Journal of Ambient Intelligence and Humanized Computing, 2010Co-Authors: Jiao Feng, Chi Xuefen, Wang Yining, Lin Guan, Xingang WangAbstract:In this paper, a channel adaptive FEC algorithm is proposed which balances the trade-off between the QoS of video transmission and the Bandwidth Utilization ratio in wireless IP networks. Our algorithm can dynamically adjust to a suboptimal number of FEC redundant packets to cater to the time-varying wireless channel. For the sake of obtaining the suboptimal amount of FEC redundant packets, we derive two analytical models, one is the playable frame rate in MPEG video stream, another is the effective Utilization ratio of FEC. Based on these analytical models, a suboptimal value of redundant packets, which makes both the quality of video stream and the effective Utilization ratio of FEC approximate their maximum, is calculated by predicting the quality of video stream and effective Utilization ratio of FEC under different network conditions (characterized by packet loss probability in this paper). The simulation results indicate that the QoS of wireless video transmission and the Bandwidth Utilization ratio are improved by employing the proposed algorithm.
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adaptive fec algorithm based on prediction of video quality and Bandwidth Utilization ratio
Advanced Information Networking and Applications, 2009Co-Authors: Jiao Feng, Chi Xuefen, Wang Yining, Lin GuanAbstract:This paper proposes a channel error adaptive FEC algorithm to balance the conflict between the QoS of video transmission and the Bandwidth Utilization ratio in wireless IP networks. Two analytic models are derived, one is playable frame rate in MPEG video stream, another is effective Utilization ratio of FEC. Based on these analytic models, quality of video stream and effective Utilization ratio of FEC under different network conditions (presented by packet loss probability in this paper) are predicted. Then optimal amount of redundant packets is calculated and decided, which makes both the quality of video stream and the effective Utilization ratio of FEC approximate their maximum. The simulation results show that the proposed algorithm improves system performance in both the QoS of wireless video transmission and the Utilization of Bandwidth.
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AINA - Adaptive FEC Algorithm Based on Prediction of Video Quality and Bandwidth Utilization Ratio
2009 International Conference on Advanced Information Networking and Applications, 2009Co-Authors: Jiao Feng, Chi Xuefen, Wang Yining, Lin GuanAbstract:This paper proposes a channel error adaptive FEC algorithm to balance the conflict between the QoS of video transmission and the Bandwidth Utilization ratio in wireless IP networks. Two analytic models are derived, one is playable frame rate in MPEG video stream, another is effective Utilization ratio of FEC. Based on these analytic models, quality of video stream and effective Utilization ratio of FEC under different network conditions (presented by packet loss probability in this paper) are predicted. Then optimal amount of redundant packets is calculated and decided, which makes both the quality of video stream and the effective Utilization ratio of FEC approximate their maximum. The simulation results show that the proposed algorithm improves system performance in both the QoS of wireless video transmission and the Utilization of Bandwidth.
Chi Xuefen - One of the best experts on this subject based on the ideXlab platform.
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Adaptive FEC algorithm based on prediction of video quality and Bandwidth Utilization ratio
Journal of Ambient Intelligence and Humanized Computing, 2010Co-Authors: Jiao Feng, Chi Xuefen, Wang Yining, Lin Guan, Xingang WangAbstract:In this paper, a channel adaptive FEC algorithm is proposed which balances the trade-off between the QoS of video transmission and the Bandwidth Utilization ratio in wireless IP networks. Our algorithm can dynamically adjust to a suboptimal number of FEC redundant packets to cater to the time-varying wireless channel. For the sake of obtaining the suboptimal amount of FEC redundant packets, we derive two analytical models, one is the playable frame rate in MPEG video stream, another is the effective Utilization ratio of FEC. Based on these analytical models, a suboptimal value of redundant packets, which makes both the quality of video stream and the effective Utilization ratio of FEC approximate their maximum, is calculated by predicting the quality of video stream and effective Utilization ratio of FEC under different network conditions (characterized by packet loss probability in this paper). The simulation results indicate that the QoS of wireless video transmission and the Bandwidth Utilization ratio are improved by employing the proposed algorithm.
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adaptive fec algorithm based on prediction of video quality and Bandwidth Utilization ratio
Advanced Information Networking and Applications, 2009Co-Authors: Jiao Feng, Chi Xuefen, Wang Yining, Lin GuanAbstract:This paper proposes a channel error adaptive FEC algorithm to balance the conflict between the QoS of video transmission and the Bandwidth Utilization ratio in wireless IP networks. Two analytic models are derived, one is playable frame rate in MPEG video stream, another is effective Utilization ratio of FEC. Based on these analytic models, quality of video stream and effective Utilization ratio of FEC under different network conditions (presented by packet loss probability in this paper) are predicted. Then optimal amount of redundant packets is calculated and decided, which makes both the quality of video stream and the effective Utilization ratio of FEC approximate their maximum. The simulation results show that the proposed algorithm improves system performance in both the QoS of wireless video transmission and the Utilization of Bandwidth.
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AINA - Adaptive FEC Algorithm Based on Prediction of Video Quality and Bandwidth Utilization Ratio
2009 International Conference on Advanced Information Networking and Applications, 2009Co-Authors: Jiao Feng, Chi Xuefen, Wang Yining, Lin GuanAbstract:This paper proposes a channel error adaptive FEC algorithm to balance the conflict between the QoS of video transmission and the Bandwidth Utilization ratio in wireless IP networks. Two analytic models are derived, one is playable frame rate in MPEG video stream, another is effective Utilization ratio of FEC. Based on these analytic models, quality of video stream and effective Utilization ratio of FEC under different network conditions (presented by packet loss probability in this paper) are predicted. Then optimal amount of redundant packets is calculated and decided, which makes both the quality of video stream and the effective Utilization ratio of FEC approximate their maximum. The simulation results show that the proposed algorithm improves system performance in both the QoS of wireless video transmission and the Utilization of Bandwidth.
