Qualcomm Incorporated

Taiwan Semiconductor Manufacturing Comp. Ltd.

Wi-lan Labs, Inc.

Nokia Corporation

Cygnus Broadband, Inc.

Other

Yiliang L Bao

David Gell

Kenneth L Stanwood

Yan Ye

Ahmed Ibrahim ElArabawy

Marta Karczewicz

Justin Ridge

Xianglin Wang

Yen-Chi Lee

Kai Wang

Shu Xiao

Ye-Kui Wang

Sharath Manjunath

Narendranath Malayath

Toshiaki Yoshino

Haibo Xu

Sitaraman Ganapathy Subramanian

Warren Roddy

Ka-Shu Ko

Gopinath Murali Chinnathambi

Zhen Liu

Ahmed El Arabawy

Ahmed Elarabawy

The disclosure provides a network path determination module, a method of determining a network path, and a non-transitory storage medium which stores computer readable instruction to execute functions related to the method of determining a network path. In an aspect, the network path determination module includes not limited to: a first port; a non-transitory storage medium; and a processor coupled to the non-transitory storage medium, configured at least to: receive, through the first port, a requested generated by a detected data flow to create a forwarding entry in a network node for the data flow; retrieve a current network topology and a network status; select a network path based on the current network topology and the network status; generate a network control instruction based on the network path which has been selected; and execute the network control instruction to forward the data flow on the network path.

Network path determination module, network path determining method therefof, and non-transitory storage medium thereof

Systems and methods can use client-side video buffer occupancy for enhanced quality of experience in a communication network. The systems and methods provided herein can drive changes in the communication system using control responses. Example control responses include responses for scheduling of packets under capacity constrained conditions. An access node, such as a base station, may transmit video from a server to a client in a user device. The access node can estimate client-side video buffer occupancy and predict video playback stalls. The client-side video buffer occupancy can be estimated by emulating behavior of the client. The buffer occupancy can be used to enhance quality of experience for the user. For example, when the buffer occupancy is low, the access node may increase scheduling priority of packets conveying the video.

Systems and methods for using client-side video buffer occupancy for enhanced quality of experience in a communication network

A method for predicting available bandwidth for a candidate flow on a link in a distributed network includes obtaining information about a plurality of flows carried by the link, the information including a current bandwidth consumption for each of the flows carried by the link; identifying whether each of the flows carried by the link has a local constraint or a remote constraint; and computing the available bandwidth for the candidate flow based at least in part on the information about the flows carried by the link and the identification of whether each of the flows carried by the link has a local constraint or a remote constraint. The predicted available bandwidth can be used to predict bandwidth consumption for active flows. The predicted available bandwidths can be used in selecting file block placement options.

File block placement in a distributed network

Pipelines for distributing file block in distributed file system network can be determined using a crawler algorithm. The crawler algorithm can iteratively identify links in a pipeline from for a starting node to one or more data storage nodes. In each iteration the pipeline can be extended based on the costs associated with the links on the pipeline with the resulting cost propagated as the pipeline is extended. The link costs indicate congestion on the links. Costs may also be back propagate from the data storage nodes.

Systems and methods provide communications between applications in terminal nodes and applications agents in access nodes. The APP-agent cooperative communications can be used to improve quality of experience for users or the terminal nodes. An access node may, for example, have parameterized scheduling system that incorporates information from the APP-agent cooperative communications in determining scheduling parameters. An application at a terminal node may, for example, modify requests for communication based on information about communication capabilities received from an access node. For APP-agent cooperative communications for multiple applications, an access node may include a master application agent to facilitate and coordinate communications to specific application agents that address APP-agent cooperative communications for specific applications. Similarly, a terminal node may use a master application and specifications for APP-agent cooperative communications.

Systems and methods for cooperative applications in communication systems

A network node, and a method for operating a network node, such as a base station, may transmit multiple video streaming sessions from servers to clients in terminal nodes and can estimate client-side video buffer occupancy levels associated with the streaming sessions. To estimate a client-side video buffer occupancy level, the network node analyzes packets communicated with the terminal nodes to identify application layer messages and extract transaction information, determine payload types associated with objects conveyed in the packets identified with application layer messages, and associate the objects conveyed in the packets identified with application layer messages with one of the streaming sessions. The network node may use the estimated video buffer occupancy levels to determine scheduler parameters for use in scheduling packets for transmission to the terminal nodes. Packet scheduling may also be based on quality of experience considerations associated with streaming session clients in the terminal nodes.

Systems and methods preserve application identification information on handover in a communication network. End user quality of experience is improved by determining applications associated with communications to and from the end user. The applications may include application classes and specific applications. The application information is used to schedule packets such that the end user quality of experience is improved for that application. When the end user is handed over between wireless access nodes, the access nodes transfer application information so that the improved end user quality of experience is maintained.

Systems and methods for preserving application identification information on handover in a communication network

Access nodes and methods adjust a bit rate of a data stream in a communication network. The access nodes and methods have a packet inspection unit configured to inspect one or more of the data packets to determine that the data stream includes video data. A congestion unit is coupled to the packet inspection unit and is configured to determine a level of congestion in the communication network, the level of congestion associated with a capacity of the wireless channel, the level of congestion capable of varying over time, and the capacity of the wireless channel capable of varying with the level of congestion. A video scaling unit is configured to adjust the bit rate of the data stream responsive to the packet inspection unit and the congestion unit.

Congestion induced video scaling

Systems and methods provide a parameterized scheduling system that incorporates end-user application awareness and can be used with scheduling groups that contain data streams from heterogeneous applications. Individual data queues within a scheduling group can be created based on application class, specific application, individual data streams or some combination thereof. Application information and Application Factors (AF) are used to modify scheduler parameters such as weights and credits to differentiate between data streams assigned to a scheduling group. Dynamic AF settings may adjust relative importance of user applications to maximize user Quality of Experience (QoE) in response to recurring network patterns, one-time events, application characteristics, protocol characteristics, device characteristics, service level agreements, or combinations thereof. Scheduling parameters may be dynamic and incorporate the notions of 'duration neglect' and 'recency effect' in an end-user's perception of video quality in order to optimally manage video traffic during periods of congestion.

Systems and methods for prioritizing and scheduling packets in a communication network

Systems and methods provide a weight-based scheduling system that incorporates end-user application awareness and can be used with scheduling groups that contain data streams from heterogeneous applications. Individual data queues within a scheduling group can be created based on application class, specific application, individual data streams or some combination thereof. Application information and Application Factors (AF) are used to modify scheduler weights to differentiate between data streams assigned to a scheduling group. Dynamic AF settings may adjust relative importance of user applications to maximize user Quality of Experience (QoE) in response to recurring network patterns, one-time events, application characteristics, protocol characteristics, device characteristics, service level agreements, or combinations thereof. Scheduling weights may be dynamic and incorporate the notions of 'duration neglect' and 'recency effect' in an end-user's perception of video quality in order to optimally manage video traffic during periods of congestion.

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Yiliang L Bao