Aimed to enhance the supporting ability for diversified services, this paper proposes a hierarchy echo state network（HESE） based service-awareness（SA）（HESN-SA） mechanism in 10 Gbit/s Ethernet passive optical net...Aimed to enhance the supporting ability for diversified services, this paper proposes a hierarchy echo state network（HESE） based service-awareness（SA）（HESN-SA） mechanism in 10 Gbit/s Ethernet passive optical network（10G-EPON）. In this HESN-SA, hierarchy architecture is adopted to realize echo state network（ESN） classification based SA. According to the network architecture of 10G-EPON, the parent-ESN（p-ESN） module works in the optical line terminal（OLT）, while the sub-ESN（s-ESN） module is embedded in optical network units（ONUs）. Thus, the p-ESN plays the main function of SA with a total view of this system, and s-ESN in each ONU conducts the SA function under the control of p-ESN. Thus, resources allocation and transport policy are both determined by the proposed mechanism through cooperation between OLT and ONUs. Simulation results show that the HESN-SA can improve the supporting ability for multiple services.展开更多
This paper analyzes a self-adaptive Quality of Service （QoS） control architecture for cognitive networks （CNs） that is based on intelligent service awareness. In this architecture, packets can be identified and cl...This paper analyzes a self-adaptive Quality of Service （QoS） control architecture for cognitive networks （CNs） that is based on intelligent service awareness. In this architecture, packets can be identified and classified using an intelligent service-aware classification model. Drawing on Control Theory, network traffic can be controlled with a self-adaptive QoS control mechanism that has side-road collaboration. In this architecture, perception, analysis, correlation, feedback, decision making, allocation, and implementation QoS mechanisms are created automatically. These mechanisms can adjust resource allocation, adapt to a changeable network environment, optimize end-to-end performance of the network, and ensure QoS.展开更多
随着输配电网的快速发展,输配电业务对时延、能效、可靠性等差异化通信指标提出了更高的的要求。为此,基于5G高速率大连接和卫星灵活广覆盖的特点,结合边缘计算高效处理数据的优势,构建了面向输配电场景的5G卫星融合组网架构。然后以最...随着输配电网的快速发展,输配电业务对时延、能效、可靠性等差异化通信指标提出了更高的的要求。为此,基于5G高速率大连接和卫星灵活广覆盖的特点,结合边缘计算高效处理数据的优势,构建了面向输配电场景的5G卫星融合组网架构。然后以最大化输配电业务数据传输平均能效与总时延的加权差为优化目标,构建了5G卫星融合组网数据卸载优化问题,并提出基于差异化业务需求感知的5G卫星融合组网数据卸载算法(Differentiated Service Requirement-aware Learning-based Data Offloading algorithm for 5G satellite integrated networking,DSRL-DO)求解。仿真结果表明,所提算法能够降低数据卸载时延的同时保证较高的能效,有效满足输配电业务的差异化需求。展开更多
基金supported by the Hi-Tech Research and Development Program of China (2012AA050804)
文摘Aimed to enhance the supporting ability for diversified services, this paper proposes a hierarchy echo state network（HESE） based service-awareness（SA）（HESN-SA） mechanism in 10 Gbit/s Ethernet passive optical network（10G-EPON）. In this HESN-SA, hierarchy architecture is adopted to realize echo state network（ESN） classification based SA. According to the network architecture of 10G-EPON, the parent-ESN（p-ESN） module works in the optical line terminal（OLT）, while the sub-ESN（s-ESN） module is embedded in optical network units（ONUs）. Thus, the p-ESN plays the main function of SA with a total view of this system, and s-ESN in each ONU conducts the SA function under the control of p-ESN. Thus, resources allocation and transport policy are both determined by the proposed mechanism through cooperation between OLT and ONUs. Simulation results show that the HESN-SA can improve the supporting ability for multiple services.
基金funded by the National High Technology Research and Development Planning ("863"Project) under Grant No. 2006AA01Z232, 2009AA01Z212, 2009AA01Z202the National Natural Science Foundation Project under Grant No. 61003237
文摘This paper analyzes a self-adaptive Quality of Service （QoS） control architecture for cognitive networks （CNs） that is based on intelligent service awareness. In this architecture, packets can be identified and classified using an intelligent service-aware classification model. Drawing on Control Theory, network traffic can be controlled with a self-adaptive QoS control mechanism that has side-road collaboration. In this architecture, perception, analysis, correlation, feedback, decision making, allocation, and implementation QoS mechanisms are created automatically. These mechanisms can adjust resource allocation, adapt to a changeable network environment, optimize end-to-end performance of the network, and ensure QoS.
文摘随着输配电网的快速发展,输配电业务对时延、能效、可靠性等差异化通信指标提出了更高的的要求。为此,基于5G高速率大连接和卫星灵活广覆盖的特点,结合边缘计算高效处理数据的优势,构建了面向输配电场景的5G卫星融合组网架构。然后以最大化输配电业务数据传输平均能效与总时延的加权差为优化目标,构建了5G卫星融合组网数据卸载优化问题,并提出基于差异化业务需求感知的5G卫星融合组网数据卸载算法(Differentiated Service Requirement-aware Learning-based Data Offloading algorithm for 5G satellite integrated networking,DSRL-DO)求解。仿真结果表明,所提算法能够降低数据卸载时延的同时保证较高的能效,有效满足输配电业务的差异化需求。
