80results about How to "Improve QoE" patented technology

The present invention discloses a method for transmitting data. In the embodiments of the present invention, whether to send blocking information used to block low priority data sent by an upper layer is determined through monitoring a delay of data during transmission, so as to prevent data overflow in a retransmission buffer of the sending end, thus achieving higher INP protection for the low priority data. Meanwhile, only the low priority data is blocked at this time, therefore, a sending end may further continue receiving high priority data, and mark the high priority data with a flag indicating retransmission is not needed when encapsulating the high priority data, so that a receiving end does not apply for retransmission of the high priority data when receiving the high priority data, thus ensuring the short delay requirement of the high priority data.

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The present disclosure relates to a method for supporting a session continuity for a terminal in a 5G cellular wireless communication system.

A content delivery network (CDN) is enhanced to enable mobile network operators (MNOs) to provide their mobile device users with a content prediction and pre-fetching service. Preferably, the CDN enables the service by providing infrastructure support comprising a client application, and a distributed predictive pre-fetching function. The client application executes in the user's mobile device and enables the device user to subscribe to content (e.g., video) from different websites, and to input viewing preferences for such content (e.g.: “Sports: MLB: Boston Red Sox”). This user subscription and preference information is sent to the predictive pre-fetching support function that is preferably implemented within or across CDN server clusters. A preferred implementation uses a centralized back-end infrastructure, together with front-end servers positioned in association with the edge server regions located nearby the mobile core network. The predictive pre-fetch service operates on the user's behalf in accordance with the user preference information.

Systems and methods of transcoding video bitstreams that employ look-ahead approaches to enhance the overall perceptual quality of transcoded video information, communications, and entertainment delivered to an end user. The disclosed systems and methods of transcoding video bitstreams take into account the scene characteristics and the local coding complexity of video frames in a video sequence before performing bit allocations for the video frames, thereby significantly improving the perceptual quality of transcoded video delivered to the end user.

Methods and systems described herein relate to more optimally allocating and scheduling radio resources simultaneously in space, time and frequency to enhance user quality of experience (QoE) according to use context within the constraints of maximizing long term service provider revenue expectation for a given investment in radio access network infrastructure for improved radio resource management, such methods optionally including use of heat maps of user trajectories as a factor in a process for resource allocation.

The invention relates to a device for estimating the quality of experience (QoE) for an internet protocol television (IPTV) user, comprising a network transmission detection module, a video coding detection module and a comprehensive analysis module, wherein the network transmission detection module is connected with the comprehensive analysis module by the video coding detection module and provided with a video streaming input end. The invention also provides a method for estimating the QoE for an IPTV user, which is realized based on the device. In the method, after the network transmission detection module acquires video streaming, the network transmission detection module detects the video streaming to acquire network transmission influence parameters; then the video coding detection module detects the video streaming to acquire video coding influence parameters; and finally the comprehensive analysis module calculates the sensory mean opinion score (MOS) of the user in accordance with the network transmission influence parameters and the video coding influence parameters so as to realize the estimation for subjective video quality. The device and method provided by the invention can be used to effectively improve the QoE of the existing IPTV.

The invention discloses a real-time video code rate self-adaptive regulation and control method based on reinforcement learning. The method comprises the following steps of: encoding a collected imageto obtain a binary video stream; packaging the binary video stream into a data packet corresponding to a current network transmission protocol; analyzing the data packet and decoding and playing thevideo, and feeding back a network QoS parameter and a playing state of the current network; performing code rate adaptive algorithm model training according to the network QoS parameter and the playing state of the current network to obtain the bit rate of a video block at the next moment; and adjusting the video coding bit rate according to the bit rate of the video block at the next moment. Theinvention further provides a system adopting the real-time video code rate self-adaptive regulation and control method based on reinforcement learning. According to the scheme, the method has the advantages that the logic is simple, and the QoE of the user and the network utilization rate are improved.

A traffic congestion estimation method used for a WLAN comprising wireless terminals (10, 11, 12) and access points (20, 21, 22). Based on measuring how busy the wireless channel of certain access point is, and the single user transmission rate resulted from a specific radio link, an association indicator is derived and a centralized association server (30) notifies a terminal (10, 11, 12) initiating a wireless link of the most suitable access point (20, 21, 22) to be associated with. The centralized association server (30) aims at maximizing each client's potentially achievable data rate. With the intelligent management of clients' association pattern, the clients' QoE is improved and network's congestion problems are relieved.

The invention discloses an adaptive video stream transcoding method applied to a game live broadcast platform. The method comprises the following steps: cutting a video live broadcast platform operation period into a plurality of time periods; in each time period, updating state information in the platform; according to current state information, marking a decision about a transcoding resource distribution plan, wherein constraint conditions for the plan within the operation period are as follows: minimizing service cost of a game live broadcast service provider and maximizing a QoE sum of users at the same time; and applying the transcoding resource distribution plan to a current live broadcast stream. According to the invention, the definition of a user QoE model is constructed, and a unified QoE model is provided for different game types through introduction of a game type factor, which represents a foundation stone of a user resource distribution algorithm.

The invention relates to a load balancing method based on fog node cooperation in a fog computing network, and belongs to the technical field of mobile communication. The method comprises the following steps: firstly, carrying out related modeling on a communication process and a calculation process of a fog node cooperation scene; designing a cooperative contribution degree for screening cooperative fog nodes and a cooperative fog node screening algorithm based on multi-attribute decision; designing a cooperation contribution ratio coefficient xm based on cooperation contribution degree, andconstructing a system total overhead optimization problem model introducing the cooperation contribution ratio coefficient; finally, designing a load balancing algorithm based on the cooperation contribution degree for solving the optimal distribution result of the task loads among the fog nodes. According to the invention, on the premise of ensuring the feasibility, fairness and stability of fognode cooperation, the service load is reasonably shunted, and the system performance and QoE of users are improved.

The invention discloses a QoE (Quality of Experience)-driven VR (Virtual Reality) video self-adaptive acquisition and transmission method, which comprises the following steps: 1, each camera in a VR video acquisition system shoots an original video with the same code rate level, and each original video is compressed into different code rate levels; 2, the server selects a code rate level for each original video for transmission and synthesizes all the transmitted original videos into a complete VR video; 3, the server carries out blocking processing on the synthesized VR video, and meanwhile, each video is compressed into different quality grades; and 4, the server selects a quality grade and an MCS scheme for each video block according to the real-time visual angle information of the user and the bandwidth information of the downlink channel in the feedback channel, and then transmits each video block to the client. The resource utilization rate can be better improved, and the experience QoE of multiple users is improved under the condition that the bandwidth is limited.

Disclosed embodiments include systems, methods, and a radio resource controller that may receive a request for radio resources from a user device. Disclosed embodiments may also determine a value ascribed to the requested radio resources. The ascribed value may reflect at least a qualitative or quantitative importance of the requested radio resources to a user of the user device. Additionally, disclosed embodiments may schedule radio resources based on the ascribed value.

Systems and methods of video transcoding that employ perceptual processing techniques for enhancing the perceptual quality of transcoded video information, communications, entertainment, and other video content. Such systems and methods of video transcoding are operative to perform perceptual processing of an input video bitstream using predetermined information carried by the input bitstream. Having performed such perceptual processing of the input bitstream, the perceptual quality of transcoded video delivered to an end user is significantly improved.

The invention discloses a self-adaptive shunting decision method based on a control theory and data driving, and the method comprises the steps: defining a proper network environment as the state input of an intelligent agent module, and enabling an intelligent agent to make an action decision in a self-adaptive manner through the training and testing process of a machine learning model; distributing a corresponding number of video data to the transmission terminal after the optimal distribution ratio of the multiple paths is decided; meanwhile, calculating the code rate control range based on a dynamic change model of the buffer area, adjusting the video code rate to adapt to the change of occupation of the buffer area, and therefore, the video playing fluency is guaranteed; through the control system, further optimizing the application accuracy of the machine learning algorithm decision model in an actual system; and in a system test stage, transmitting corresponding video data by using an optimal split ratio, calculating a video code rate range, and selecting a proper value by a control system to be matched with the dynamically changing buffer area occupation length.

The invention discloses a streaming media QoE control system based on an SDN, and belongs to the field of SDN flow control application. The control system includes a streaming media server, a streaming media client side, an OpenFlow exchanger layer, an SDN control layer and a data training module. According to the system, streaming media transmission is carried out with the software definition network (SDN) as a platform, streaming media QoE is controlled by means of a best path selection method based on a BP neural network, and the best user perception experience of the streaming media is obtained under the condition of limited network resources and in a complex network environment. According to the streaming media QoE control system based on the SDN, the SDN and the streaming media QoE control are combined, and network control resources are saved; meanwhile, the effect of the streaming media transmission is greatly improved, the utilization efficiency of the network is improved, the robustness of the network is ensured, and the system has a practical application value.

The invention discloses a method for achieving network service on an intelligent network, a network service entity and an intelligent network system, and relates to the technical field of network communication. The invention is invented for solving the problem that a user can not normally acquire the network service due to network problem in the prior art. The method for achieving the network service on the intelligent network comprises the following steps: a service request entity acquires service from a service provision entity through the network service entity; and when the service provision entity can not and does not provide the service any longer, the network service entity searches a novel service provision entity. The intelligent network system provided in the embodiment of the invention comprises at least a network service entity, at least a service request entity and at least a service provision entity; a P2P overlay network is formed by all the network service entities; the service request entity is used for sending service request information; and the service provision entity is used for providing service contents. The invention can reduce the effect of the network problem on normal acquisition of the network service and improve the experience quality of the user.

The invention discloses an interference management method based on user side storage and belongs to the technical field of wireless communication. The management method includes the steps that micro base stations predict a demand set of each user side in small cells according to file information of historical requests of all the user sides within a period of time, and files in the demand set of each user side are ranked according to popularity; the micro base stations determine a preference file set of each user side according to the storage capacity and the demand set of each user side; the micro base stations determine distribution of large-scale channels of each user side and residual resources of a network according to scene information of each user side and real-time loads of the network, under the conditions that the residual resources of the network are sufficient, other services are not affected, and the channel conditions of the user sides are good, the preference files sets are pushed to all the user sides before the user sides send requests, low energy consumption in the pushing process is guaranteed, extra cost of the network is low, and the advantages of efficient interference management and high universality are achieved.

According to one aspect of the present invention, the content transmission method supporting handover includes: (a) compressing, at a compressor, content transmitted from a server and transmitting the compressed content to a decompressor if a request for changing to a compression mode is received; and (b) transmitting, at a compressor, content transmitted from a server without compression to a client or another decompressor connected to the client after a handover occurs if the handover occurs at the client.