Researches On QoS And QoE-oriented Wireless Network Resource Management And Control Technology For Mobile Crowd Sensing

With the fast advancement of mobile communication technology and based on 2/3/4G voice service and data service,5G/6G mobile communication,WiFi LAN,Internet of Things(IoT),Internet of Vehicle(IoV)and other network technologies constantly update and upgrade,thereby enabling smart phones,intelligent terminals,IoT modules and intelligent vehicles to get access to wireless networks.In the backdrop of social demand for Internet of Everything and booming development of assorted services,how to ensure different types of user perception and service guarantee is an issue imperative to be settled.Wireless network resource management&control,related service guarantee and performance optimization have always been the most central research topics.Mobile Crowd Sensing(MCS)is a new technology that takes users'smart mobile devices as basic perceptual unit to achieve perceptual task distribution and perceptual data collection.As access devices get more extensive,network services sharply increase and users' requirement for service quality is much higher than before,limited wireless spectrum resources cannot satisfy the needs of users and different groups for application of emerging services in rapid growth.Wireless spectrum resources are confronted with a severe limitation.Through MCS,terminals in access to wireless network can be divided into different unit clusters according to service type and user contract status.Different wireless environments where users and terminals are in will be evaluated by Radio Environment Map(REM)and the actual wireless environment data is returned to the core side of network to provide decision-making basis for the adjustment of resource management&control strategy.Policy and Charging Control(PCC)closed-loop control&management system refers to user contract status and service demand status and combines REM to learn the real situation of the wireless network environment and achieve dynamic adjustment and control of wireless resources.When wireless network congestion occurs,users will be switched to wireless band that can guarantee user perception even through band optimization control method,thereby precisely adjusting the quality of service(QoS)and quality of experience(QoE)for different users and different services to MCS.This paper puts forward a QoS and QoE management and control technology scheme for wireless network resources to MCS,starts from how to much more precisely acquire radio environment information,carries out the research on QoS-differentiated wireless resource allocation and frequency band optimization control to solve the critical issues of precise perception of radio environment basic information,achievement of QoS differentiated control and QoE overall balance,thus aiming at features of MCS to improve the resource utilization of wireless network and MCS system,as well as the service quality of application businesses.Our main research results are as follows.(1)We propose the method for radio environment basic information sensing.A MCS-based protype system of the radio environment map(REM)is established to collect the desired data by the radio environment information.By leveraging the sensed radio environment information,it can support to appropriately allocate the wireless spectrum resources and increase the usage of the radio resources,so as to access controls and optimized configuration of resources.In actual situation,users will not be well-dispersed in wireless environment,so only through current user MCS perception task to collect radio environment information,the actual wireless environment cannot be actually reflected.We utilize the Universal Kriging interpolation algorithm to infer complete radio environment information from collected sample radio environment information data.We demonstrate experiments to analyze the Universal Kriging interpolation algorithm's interpolation results and error,and compared it with the nearest neighbor and the inverse distance weighting interpolation algorithms.Experiment results show that the Universal Kriging algorithm can be applied to infer the whole radio environment information data based on the collected sample data,and the Universal Kriging interpolation has the least interpolation error.(2)We propose the method for QoS differentiation-based wireless resources allocating.A networking architecture of the policy and charging control-based closed-loop control system is established to dynamically adjust the wireless resources,and improve the real application effect of the policy and charging control scheme on the aspects of the wireless resources scheduling.In MCS systems,leveraging reasonable QoS schemes can guarantee excellent quality of user service.By adding the network element device of resources analysis at the wireless side,and based on the analytical statistics of current network traffics and user behaviors as well as the evaluation of network resources,it can support to analyze and evaluate the application effect of the underlying policy and charging control scheme,and design the dynamic suggestion of policies adjusting.A scheme of the policy and charging control-based closed-loop control is established,and by the performance analysis and summary of network elements,it can support the policy and charging control scheme to dynamically and automatically adjust the QoS policies.Especially when the wireless areas are busy,the busy area control scheme will automatically enter the busy area discovery status,and analyze the cases of users class,in-used network traffics and etc.,so as to correctly generate the control policies,reduce the busy area discovery and users'class and traffic analysis by manual work.Eventually,it can realize the highly efficient usage of wireless resources and QoS-differentiated diverse smart services.(3)We propose the method for QoE-oriented optimized controlling of the band steering technology.A QoE-oriented optimization architecture of the wireless network in the dual-band wireless area network is established to improve the overall QoE of system users.Under more and more situations,it needs to reduce the cost of offloading the sensed data from the core network to the mobile crowd sensing system.However,the fixed threshold configuration strategy will result in QoE imbalance in the dual bands when it conducts the band steering between the 2.4GHz and 5GHz WiFi networks.First,to ensure the overall QoE of network and balancing the QoE between 2.4GHz and 5GHz bands,the framework dynamically adjusts the load threshold of the frequency band based on QoE information during the association of a terminal.Second,to meet the basic QoE requirement of each user,the framework preferentially switches the terminals with poor QoE to the idle band after users join the network.The experimental results show that the proposed framework can improve the QoE both before and after the terminal accesses the network.Additionally,it enables the better QoE overal balance in multi bands.