81results 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.

The invention discloses an inter-cellular base station offloading method based on MEC (Mobile Edge Computing). The method comprises the following steps: sending a reference signal carrying a collaboration cluster building request to a peripheral base station by a hot zone base station; receiving a report of at least one base station by the hot zone base station, selecting N collaboration base stations of which channels are better and remaining computing resources are enough to compute an offloading request within a preset time slot, and building a collaboration cluster; initializing transmission power of the hot zone base station specific to the collaboration base stations in the collaboration cluster, and judging whether the transmission power meets a time delay requirement of the offloading request or not; and determining a joint utility value according to the transmission power and time delay of the hot zone base station, and selecting transmission power in a group of data with a minimum joint utility value as actual transmission power. Through adoption of the inter-cellular base station offloading method based on the MEC disclosed by the invention, the user quality of experience of a hot zone is improved; the power consumption is lowered as much as possible; and meanwhile the utilization ratio of computing resources of a small base station is increased.

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 method, a device and a system for publishing media description information and acquiring media, which is designed to solve the problem of the time extension when starting to play the media. The method for acquiring media comprises the following steps: receiving a media request message carrying media identification and playing time; acquiring general media description information corresponding to the media identification; searching the segmental identification corresponding to the playing time according to the general media description information; acquiring the segmental description information corresponding to the segmental identification; and receiving the segmental content corresponding to the segmental identification according to the segmental description information. The embodiment of the invention can be used for transmitting media in P2P networks.

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.

Provided is a method and apparatus for fast channel change when changing the channel from a channel being viewed full screen as a main picture to a channel being viewed in a secondary channel program display window (e.g., a picture-in-picture (PIP) window). In one implementation, during the channel change, a secondary video stream (135) for a secondary channel program is up-sampled and displayed full screen while receiving the corresponding regular video stream (133) for the video program, of which program contents are identical to those of the secondary video stream. The program contents of the up-sampled secondary video stream is then be replaced seamlessly with those of the corresponding regular video stream (133) at the time when an instantaneous decode refresh (IDR) frame of the corresponding regular video stream (133) is received. In another implementation, the last GOP packets of the corresponding regular video stream (133), corresponding to a secondary video stream (135) being viewed in the secondary channel program display window, are buffered without being decoded. Upon a request for the channel change, the buffered GOP packets are decoded and displayed immediately while the decoder starts receiving the following frames in the corresponding regular video stream (133).

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 an Internet of Vehicles cloud computing resource optimization method based on reinforcement learning. The method specifically comprises the steps of carrying out the modeling of an Internet of Vehicles system resource distribution problem as a semi-Markov decision process SMDP, and introducing a resource reservation strategy and a resource secondary distribution mechanism;and solving the model by using reinforcement learning. According to the invention, the system is enabled to obtain the optimal scheme of Internet of Vehicles resource allocation, and the resource utilization rate, the system QoS and the user QoE are improved.

A wireless local area network, WLAN, comprising: access points arranged to maintain wireless links with terminals each arranged to initiate a wireless link with an access point, and to associate with an access point during a service session. A central association server is connected to each of the access points, and is arranged to gather information from a plurality of the terminals via the wireless links between terminals and access points, determine, based on the gathered information, with which access point a terminal which has initiated a wireless link should associate during its service session, and notify the terminal, via the access point with which the terminal initiated the wireless link, of the access point so determined.

The invention provides a network auxiliary information providing method and related equipment. The method comprises the following steps: sending a first request message, wherein the first request message carries a target protocol data unit session identifier and unstructured request data, the unstructured request data comprises a user terminal analysis request prediction cell, and the user terminal analysis request prediction cell comprises a target analysis identifier, a target user terminal identifier and a target service flow identifier; receiving a first notification message, wherein the first notification message carries a target protocol data unit session identifier and unstructured response data, the unstructured response data comprises a user terminal analysis response cell, the user terminal analysis response cell comprises network auxiliary information and a target analysis identifier, and the network auxiliary information is generated by the target network data analysis function in response to the user terminal analysis request prediction cell. The scheme provided by the embodiment of the invention can be applied to data transmission in the cloud technology.

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 embodiment of the invention provides an adaptive stream video processing system and method based on the SDN and EC technologies, and the system comprises a plurality of EC nodes and an SDN controller. The EC nodes are configured to receive video data request messages sent by user equipment, process the video data request messages, and perform information interaction with the SDN controller. The SDN controller is configured to determine the size relation between the transcoding cost and the cooperation cost based on the information interaction with the EC nodes, and control the EC nodes toreturn a DASH video segment to the user equipment; or control the EC nodes to transmit the video data request messages to the cooperative EC node, so that the cooperative EC node processes the video data request message. The system and method can reduce video transmission delay and improve user QoE.

The invention relates to a power allocation method for improving the user experience quality, which is used for the radio transmission technical field. In the invention, a source user firstly sends a collaboration request to collaboration user candidates on the periphery; then the collaboration user candidates who receive the request compare according to the following sequence to determine whether the collaboration user candidates can become collaboration users; the dump energy value and a dump energy threshold are compared, the quality of a channel is good, and energy consumed and the energy threshold consumed are compared. If the collaboration user candidates are selected as the collaboration users, collaboration confirmation is sent to the source user; then the source user sends power distribution information to the users on the periphery according to the total number of the collaboration confirmation received; and finally, after receiving the information, the collaboration users assist to forward data according to the distributed power value. The invention can improve the experience quality of the collaboration user in the collaboration communication, thereby ensuring that the collaboration user has enough dump energy to satisfy the communication demands thereof. The invention is applicable to B3G / 4G communication systems.

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.