463results about How to "Improve quality of experience" patented technology

Network discovery comprises discovering networks being available for a device and automatically providing communication settings for at least one of discovered networks to the device. The network discovery may be device initiated or network-initiated. The communication settings provision may be effected by network discovery functionality or another functionality such as device management functionality.

Systems and methods exercise control over the Real Time Streaming Protocol (RTSP) messages in order to control the underlying streaming services. The methods and systems also minimize bandwidth allocated for each streaming flow. The systems and methods control streaming services by analyzing the RTSP associated with a particular streaming service.

The invention relates to a wireless video streaming service self-adaption rate control method based on the QoE. The method includes the steps of setting up a QoE evaluation model at a receiving end to be used for calculating the quality of user experience, periodically feeding the packet loss rate, the end-to-end one-way time delay and user experience quality information which are obtained at the receiving end back to a sending end through a real-time transmission control protocol, conducting subdivision on network states through the sending end according to the user experience quality and by combining the packet loss rate with the increase or decrease trend of the end-to-end one-way time delay, and judging the network congestion degree. When the user experience quality decreases to a threshold value, the sending end of the wireless video streaming service starts a coding bit rate adjustment unit and adjusts the coding bit rate in a self-adaption mode by taking corresponding strategies according to the monitored network congestion degree, and therefore the user experience quality is improved. According to the method, the user experience quality of the video steaming service can be accurately evaluated in real time, network congestion is reduced through the self-adaption rate control method, and the user experience quality is effectively improved.

The invention relates to a shifting video code rate regulation method based on experience qualitative forecast. According to the invention, a sending end divides an encoding video speed rate into four grades, when a mobile terminal user requires a video business, the scale of the initial code rate of a video is middle, and thus, a QoE prediction model is periodically utilized to calculate a user taste value; the predicted QoE value and the presupposed QoE threshold value are compared, if the user experience quality is lower than the threshold value, and the corresponding adjustment is performed according to the network congestion indication and encoding video speed rate fedback by a receiving end in two periods; and the code rate grade of the next period is output until the request is finished, wherein the QoE prediction model is positioned on a video server side, and the decision tree structure is improved through training a plurality of gradients. The shifting video code rate regulation method provided by the invention can be used for solving a problem that in the current code rate regulation method, the video quality subjective feeling of users can not be considered, a network resource is fully utilized, meanwhile, the generation of network congestion is avoided or slacked, and the taste quality of the users is effectively improved.

The present invention is a system or method that facilitates smart decision makings at the client side for adaptive video streaming over a video delivery network by making use of perceptual video quality-of-experience predictions performed during the video preparation stage, at the video hosting or cache server side, or inside the video delivery network, and then transmitted to the client. Compared with prior art approaches of adaptive bitrate video streaming, the present invention can result in one or more of the following benefits: 1) save the overall bandwidth for the delivery of the video content without scarifying the client users' quality-of-experience; 2) create better overall visual quality-of-experience of the client users; 3) create smoother visual quality-of-experience of the client users; and 4) reduce the probability of rebuffering or stalling events at the client user side.

The invention relates to an interactive voice data response system and a realizing method thereof. The system comprises a calling server, a data server, a communication data publishing server, a subscriber mobile phone and a plurality of seat terminals. The method comprises the following steps: the subscriber mobile phone logs in the data server and opens a UDP (User Datagram Protocol) communication chain between the subscriber mobile phone and the data server; the subscriber mobile phone sends a calling request and establishes a voice channel with the calling server or the seat terminal under the assistance of the calling server; and a subscriber receives voice sent by the calling server or the seat terminal, and meanwhile, the mobile phone displays multimedia data which is synchronouslytransmitted by the data server through the UDP communication chain. The invention belongs to the technical field of network communication; the data transmission function can be added on the basis of a voice phone in the IVR (Interactive Voice Response) automatic voice and manual service process; and the subscriber mobile phone can synchronously present the voice and multimedia data information which comprises the forms of pictures, characters, video, and the like just by having the conversation and networking function.

The invention relates to a resource allocation method for a low-delay high-reliability service in mobile edge computing, and belongs to the technical field of mobile communication. According to the method, in a multi-MEC multi-user environment, a user task queue model and an MEC task queue model are described respectively, a theoretical model of mobile service provider network utility maximizationis established with the task queue overflow probability as the constraint, and joint allocation is performed on power resources, bandwidth resources and computing resources. Considering that a constraint condition in the optimization model comprises a limit constraint of a task queue overflow probability; a random optimization problem of time averaging is converted and decomposed into three sub-problems of single-time-slot solving through a Lyapunov optimization theory, including calculation resource allocation of users, bandwidth and power allocation and calculation resource allocation of MEC, and then the three sub-problems are solved respectively. According to the method, the average total income of the MSP is improved while the requirements of users for low time delay and high reliability are met.

The invention provides a Lyapunov optimization-based multi-server mobile edge computing unloading method and device, and the method comprises: building a task cache queue for a task generated by eachmobile device, and building a virtual task cache queue for a task which needs to be unloaded and is not processed by each mobile device; establishing a terminal power consumption model, a bandwidth model and a QoE model; collecting task cache queue information and virtual cache queue information of the mobile device and the bandwidth condition of the server at each preset time slice; constructinga Lyapunov drift and penalty function according to the collected information; and based on Lyapunov drift and a penalty function, a calculation unloading decision in the current time slice is solved.The technical effects of calculating and unloading based on the multi-server MEC, effectively reducing the task completion time and reducing the energy consumption of the mobile device are achieved.

The invention discloses a model and a method for evaluating the user experience quality of a mobile terminal, belonging to the field of communication testing. The evaluating method comprises the following steps of: acquiring technical factors and non-technical factors which influence the user experience quality; extracting key performance indexes and key quality indexes (KQIs); classifying non-technical factors represented in the form of customer complaint; mapping to corresponding KQIs on a technical factor side respectively; calculating the weight values of the KQIs on the technical factor side relative to the user experience quality and the customer complaint rate of a non-technical factor side in a certain evaluating period and a certain evaluating range; and weighting and summarizing the weight values and the customer complaint rate to obtain new weight values of the KQIs. According to the model and the method, the user experience quality is reflected more accurately; and evaluation is only required to be performed once during calculation of new weight values of the KQIs, and the new weight values of the KQIs are dynamically changed in the following calculation according to the user complaint rate, so that the workload is lowered greatly.

For transmitting multimedia data to a plurality of clients over a network, wherein the multimedia data is stored in a plurality of formats of different multimedia rates, on the basis of utility information for the multimedia data, the utility information describing a relationship between multimedia quality and multimedia rate, and on the basis of a condition of the network, for each of the plurality of clients available multimedia rates for the multimedia data are determined. In response to a client request for transmitting the multimedia data with a desired multimedia rate, in accordance with the available multimedia rates determined for the requesting client, a format of the requested multimedia data is selected and the multimedia data is transmitted in the selected format to the requesting client.

The invention relates to a quality of experience (QoE) monitoring and optimization method for adaptive code rate video direct broadcast, and belongs to the technical field of digital videos. The method comprises the steps that: based on an HAS direct broadcast system, a server continuously monitors a code rate change situation of a client; when the code rate of the client is changed, the delta T time length of a slice is reduced, otherwise, the delta T time length is increased, and a slicing tool is notified to perform slicing according to the increased or reduced time length of the slice; and no matter whether the time length is reduced or increased, the final time length of the slice should be within a range of [Min, Max], wherein Min represents preset shortest time, and Max represents preset longest time. Compared with the prior art, an encoder and the slicing tool can cut a direct broadcast stream into variable time length segments (VTS), and the length of the slice can be changed as feedback of a fluctuated loading rate, so that delay jamming caused by frequent code rate switching is effectively avoided and the QoE of users on video business is improved.

The invention belongs to the field of mobile edge computing, and provides a streaming media cache distribution device based on a dynamic programming algorithm and a multi-cell user mobility and a working method thereof, and the device can collect context perception information of an edge server, and the context perception information comprises a movement track of a user in a cell, a request mode of a terminal, a current network load and a distribution state of server resources. According to the method, a space-time locality principle is considered to carry out abstract analysis on a multi-celloverlapping switching probability of a user, and a popularity cache model and a motion sensing prefetching model are established. On the premise of meeting the constraints of storage, bandwidth and computing resources, an optimization target of maximizing cache benefits is established. An optimal cache placement and replacement decision is made for the server through dynamic programming, and theoverall cache benefit is improved from three aspects of popularity statistics, mobility perception and cost management. According to the device and the method, the average access delay of the terminaland the congestion cost of resources can be effectively reduced, and the cache performance of an edge computing system is improved.

The embodiment of the invention discloses a method for automatically adjusting call volume and a communication terminal. The method comprises the following steps of: acquiring a distance value between a receiver and a human ear when a user calls by using the receiver; and adjusting the volume of the receiver according to the distance value. The invention is suitable for adjusting the call volume of the communication terminal.

The present invention relates to a method for traffic flow treatment in a core network of a communication network. The method may comprise receiving cell information from an access network of the communication network, wherein the received cell information comprises an indication of a congested cell of the communication network. Furthermore, the method may comprise receiving subscriber specific information comprising real-time information of a subscriber in a cell of the communication network. The method may further comprise analyzing the received subscriber specific information and controlling the traffic flow in the core network according to the analysis of the subscriber specific information.

The invention discloses a deep learning traffic classification method based on combination of time-space characteristics, and mainly solves the problem of low detection accuracy in the prior art. According to the implementation scheme, the method comprises the following steps: 1) collecting and marking original flow load data; 2) generating a preprocessed flow graph set based on the original flowload data; 3) training a deep learning model based on space-time characteristic combination by using the flow graph set; 4) verifying the trained deep learning model by using newly acquired and generated flow data, and deploying the model as a flow classifier at a real network node after the model is qualified; and 5) analyzing, classifying and labeling the traffic in the real network environment.According to the model constructed by the invention, the space-time characteristics of the traffic data are utilized, the traffic classification accuracy is improved, resources occupied by the classifier are reduced, the traffic classification requirement in the current network environment can be met, and the method can be applied to network edge nodes to realize encrypted traffic identificationand malicious traffic detection.

The invention discloses a task unloading optimization method for end-edge-cloud collaborative computing. The task unloading optimization method mainly comprises the steps of: 1) establishing a mobileedge computing system model; 2) determining a task unloading strategy omega i under a current iteration round j; 3) determining a resource allocation strategy under the current iteration round j; 4) quantifying a weighted sum of energy consumption and transmission delay in a mobile edge computing system, and storing the task unloading strategy and the resource allocation strategy; 5) and outputting an optimal task unloading strategy and an optimal resource allocation strategy in the end-edge-cloud collaborative computing mobile edge computing system. According to the task unloading optimization method, user comprehensive factors such as the task priority and the remaining power of the equipment are comprehensively considered, the optimal unloading position of the task is given, meanwhile,the resource allocation strategy is given through adopting a Cauchy method, and the QOE of the user is improved to a great extent.

The invention relates to a mobile video quality assessment method based on hierarchy analysis and multiple linear regressions. The method comprises the following steps: firstly, determining each layer of end-to-end performance indexes of user QoE (Quality of Experience) influencing mobile video services; dividing various end-to-end performance indexes of the QoE into a target layer, a criterion layer and an index layer by utilizing a hierarchy analysis method according to the attributes and the types of the performance indexes; respectively constructing hierarchical influence models in manners that the index layer is aligned to the criterion layer which is aligned to the target layer from bottom to top by utilizing the multiple linear regression analysis; constantly adjusting regression coefficients for influencing the models and various performance indexes of the models; and finally, establishing the influence model in the manner that the index layer is aligned to the target layer, i.e., establishing a total regression model influencing the quality of a mobile video according to various end-to-end performance indexes of QoE so as to assess the quality of the mobile video by utilizing the hierarchical total assessment model. According to the method, the subjective and objective performance indexes of the mobile video are combined with the QoE of the user, so that the method provided by the invention is a comprehensive and effective user experience quality assessment method.

The invention relates to a liquid crystal display device which comprises a display module and a driving circuit module, wherein the display module comprises a backlight source, a liquid crystal panel and a controllable light valve; the driving circuit module comprises a backlight driving circuit, a light valve driving circuit and a control circuit; the backlight driving circuit is used for supplying voltage to the backlight source to drive the backlight source to emit light; the light valve driving circuit is used for controlling the controllable light valve under the action of a display status switching signal, so that the liquid crystal display device can be switched to the corresponding display status; and the control circuit receives the display status switching signal and controls the backlight driving circuit according to the display status switching signal to adjust the brightness of the backlight source.

The embodiment of the invention discloses method and terminal device for controlling the vibration of a terminal. A vibration module is arranged in the terminal. The method for controlling the vibration of the terminal comprises the following steps of: when the terminal is in a vibration mode, acquiring the importance grade of an incoming call of the terminal; setting a vibration grade of the vibration module in the terminal according to the acquired importance grade of the incoming call of the terminal; and controlling the vibration module to vibrate in the set vibration grade. The invention is suitable to control the vibration of the terminal according to the importance grade of the coming call of the terminal.

A method and apparatus that enables a mobile device to seamlessly transition between packet-switched wireless networks to while maintaining access to a resource is described. The invention includes a delay measurement component, a buffer management component and a mobile device component. The delay measurement component actively measures downlink packet delays from a packet duplication point to each of the interfaces of the mobile device with a single time reference. A buffer management component compares the measured delays to identify a delay difference and uses the delay difference to manage packet delivery on each network during the transition. A mobile device component includes functionality for assisting in the delay measurement and organizing packets received during transition. As a result of the above mechanisms, delay measurement and buffer management, “slips” and “repeats” due to network transition are minimized, which guarantees an enhanced Quality of Experience (QoE).

A method for precisely positioning play progress in IPTV includes packing up a numbers of frame pictures at each interval on appointed time interval from program source, sending information as of these programs to EPG system server after said frame pictures are processed and compressed, setting said information in corresponding program and using it as part of program information, finding out a numbers of frame pictures in EPG program information at the same time section with time as cursor-pointed when cursor controlled by user is moved on play progress column after program is on-demand by user then displaying said pictures on screen.