Research On Multi-dimensional Dynamic Adaptation For Heterogeneous Networks In High-speed Mobility Scenarios

As an important component of ubiquitous mobile Internet,high-speed mobile networks have received widespread attention.With the development of network technologies,high-speed mobile networks can integrate with multiple telecommunication operators' networks,to provide a variety of network information services for mobile users.However,limitations of its traditional architecture and complex radio link characteristics in high-speed mobile networks,make it difficult to flexibly collaborate heterogeneous networks to meet multi-dimensional requirements of mobile information services.These will result in bad quality of service,poor user experience and low resource utilization.Therefore,based on the theory of Smart Identifier Networking,this dissertation studies multi-dimensional adaptation mechanisms based on dynamic perception of wireless link status,combining characteristics of high-speed mobile networks and multi-dimensional requirements of services.The main contributions of the dissertation are as follows:(1)To address adaptation challenges for services with multi-dimensional requirements in high-speed mobile networks,the dissertation proposed a multidimensional demand service and network dynamic adaptation framework based on Smart Identifier Networking(SINET).First,the dissertation comprehensively reviewed advantages and disadvantages of the state-of-art research work on network adaptation architectures and mechanisms over high-speed mobile networks.Second,the design requirements of a novel adaptation architecture are analyzed in detail.Then,the multidimensional demand service and network dynamic adaptation framework and several key functional modules are designed.Finally,the feasibility and advantages of this adaptation framework are evaluated by real-world experiments of prototype systems along highspeed railways and urban roads.All of these establish the foundation for service adaptation research work with different demand dimensions in the subsequent chapters.(2)To address inaccurate adaptation issues of multiple Qo S parameters required services caused by dynamic link quality in high-speed mobile networks,the dissertation proposed a service and network adaptation mechanism based on fuzzy satisfaction.First,the dissertation constructed a fuzzy processing rules for family groups,according to multiple parameters of wireless link in high-speed mobile environments and service's multiple Qo S requirements.Second,the dissertation established a dynamic adaptation mechanism of weighted satisfaction based on multi-objective requirements of services,to maximize services' satisfaction.Finally,the proposed mechanism is verified using realworld data collected from high-speed railway networks.Experimental results show that the proposed mechanism effectively enhances the adaptation accuracy,and also improves service's satisfaction.(3)To address transmission failure issues of reliability required services caused by link failures in high-speed mobile networks,the dissertation proposed a service and network adaptation mechanism based on link failure state prediction.First,the link failure prediction model is established based on the characteristics of radio link status in highspeed mobile scenes.Second,the redundant transmission method is introduced to improve the transmission reliability.Furthermore,the proposed mechanism is established based on a utility optimization model,by considering the trade-off between effective throughput benefit and redundant transmission cost.Finally,simulation experiments are performed based on real-world data of high-speed railway networks,to evaluate the performance advantages of this mechanism.Experimental results show that the proposed mechanism effectively improves service's satisfied rate of packet loss rate and utility value,and enhances throughput performance.(4)To address overdue transmission issues of timeliness required services caused by frequent handovers in high-speed mobile networks,the dissertation proposed a flow scheduling mechanism based on link available duration and services' deadline.Primarily,the link available duration prediction model is designed based on the characteristics of mobile trajectory in high-speed mobile scenes.Then,the proposed adaptation mechanism based on link available duration prediction is designed with two key time-related parameters(i.e.,duration and deadline)of services' requirements,to improve the timely delivery rate of flows.Finally,the proposed mechanism is evaluated and analyzed through simulation experiments performed in a high-speed mobile network environment.Experimental results show that the proposed mechanism effectively improves the successful transmission rate,and relieves the residence time of successfully transmitted services.