Abstract: Systems and methods for optimizing system performance of capacity and spectrum constrained, multiple-access communication systems by selectively discarding packets are provided. The systems and methods provided herein can drive changes in the communication system using control responses. One such control responses includes the optimal discard (also referred to herein as “intelligent discard”) of network packets under capacity constrained conditions. The systems and methods prioritize packets and make discard decisions based upon the prioritization. Some embodiments provide an interactive response by selectively discarding packets to enhance perceived and actual system throughput, other embodiments provide a reactive response by selectively discarding data packets based on their relative impact to service quality to mitigate oversubscription, others provide a proactive response by discarding packets based on predicted oversubscription, and others provide a combination thereof.

Abstract: A communication station, such as a base station or access point, has multiple backhaul options and distributes backhaul data between the available backhaul options. The communication station includes a transceiver for transmitting and receiving data with user equipments, multiple backhaul interface modules, and a backhaul distribution module arranged for monitoring demand for backhaul bandwidth and distributing data over the backhauls based on the demand for backhaul bandwidth. Additional modules for user data and control plane processing may be included with the user/control distinction used in distributing data over the backhauls. The backhaul options may include a preferred backhaul and an alternate backhaul. Distributing data over the backhauls may be based, for example, on applications associated with the data, financial cost, delay, robustness, computational resources, and/or additional security associated with using a particular backhaul.

Abstract: A method for quality of experience recovery for a plurality of video streams associated with a plurality of user terminals in a communication network, the method comprising determining that an overall video quality metric associated with the plurality of video streams is below a first threshold value, selecting at least one of the plurality of video streams based on at least one video stream metric corresponding to each video stream, and applying at least one load reduction action to each selected video stream whereby the at least one load reduction action reduces a required network resource load associated with the selected video stream.

Abstract: A method is provided for managing, based on a video quality metric, a plurality of video streams being sent to a plurality of user terminals in a communication network based on a video quality metric, comprising the steps of determining whether the plurality of video streams being sent to the plurality of user terminals can be maintained with the video quality metric being above a first threshold level, and operating, in the case that the plurality of video streams to the plurality of user terminals cannot be maintained with the video quality metric being above the first threshold level, in a degradation control state in which a scheduling parameter is determined for use in scheduling of network resources for each of the plurality of video streams while targeting a maximum value of the video quality metric.

Abstract: Degradation control management is provided for a plurality of video streams associated with a plurality of user terminals in a communication network, based at least in part on an overall video quality metric, by determining a video quality metric for each video stream based on at least a set of video quality metric input parameters, and calculating an overall video quality metric based on the determined video quality metrics for the video streams, determining, with an objective function, at least one objective parameter based on at least the overall video quality metric, calculating a scheduling parameter for each video stream using a degradation control algorithm based on at least the determined video quality metric for the respective video stream and on the at least one objective parameter, and scheduling network resources for each video stream based on at least the scheduling parameter for the video stream.

Abstract: Systems and methods for optimizing system performance of capacity and spectrum constrained, multiple-access communication systems by using application-aware admission control are provided. The systems and methods provided herein can determine admission control response using information about applications and congestion information. The information about applications can be obtained from packet inspection. The admission control responses can include admitting a new service, denying the new service, modifying the new or an existing service, delaying the new service, and suspending an existing service.

Abstract: Systems and methods for optimizing system performance of capacity and spectrum constrained, multiple-access communication systems by selectively discarding packets are provided. The systems and methods provided herein can drive changes in the communication system using control responses. One such control responses includes the optimal discard (also referred to herein as “intelligent discard”) of network packets under capacity constrained conditions. The systems and methods prioritize packets and make discard decisions based upon the prioritization. Some embodiments provide an interactive response by selectively discarding packets to enhance perceived and actual system throughput, other embodiments provide a reactive response by selectively discarding data packets based on their relative impact to service quality to mitigate oversubscription, others provide a proactive response by discarding packets based on predicted oversubscription, and others provide a combination thereof.

Abstract: A communication station, such as a base station or access point, has multiple backhaul options and distributes backhaul data between the available backhaul options. The communication station includes a transceiver for transmitting and receiving data with user equipments, multiple backhaul interface modules, and a backhaul distribution module arranged for monitoring demand for backhaul bandwidth and distributing data over the backhauls based on the demand for backhaul bandwidth. Additional modules for user data and control plane processing may be included with the user/control distinction used in distributing data over the backhauls. The backhaul options may include a preferred backhaul and an alternate backhaul. Distributing data over the backhauls may be based, for example, on applications associated with the data, financial cost, delay, robustness, computational resources, and/or additional security associated with using a particular backhaul.

Abstract: 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.

Abstract: A communication station, such as a base station or access point, has multiple backhaul options and distributes backhaul data between the available backhaul options. The communication station includes a transceiver for transmitting and receiving data with user equipments, multiple backhaul interface modules, and a backhaul distribution module arranged for monitoring demand for backhaul bandwidth and distributing data over the backhauls based on the demand for backhaul bandwidth. Additional modules for user data and control plane processing may be included with the user/control distinction used in distributing data over the backhauls. The backhaul options may include a preferred backhaul and an alternate backhaul. Distributing data over the backhauls may be based, for example, on applications associated with the data, financial cost, delay, robustness, computational resources, and/or additional security associated with using a particular backhaul.

Abstract: Systems and methods provide a parameterized scheduling system that incorporates congestion detection and end-user application awareness and can be used with scheduling groups that contain data streams from heterogeneous applications. Congestion can be detected at multiple domains. Congestions can be detected using demand for communications, measure of resource usage in the communication device, or performance of the communication device. Congestions can also be detected using measures of protocol delay. The detected information can be used for scheduling transmission of the packets. Quality of Experience (QoE) for users can be maximized by efficient control responses to detected congestion.

Abstract: Systems and methods for providing a weight-based scheduling system that incorporates end-user application awareness are provided 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. One embodiment adjusts the relative importance of different user applications using dynamic AF settings to maximize user Quality of Experience (QoE) in response to recurring network patterns, one-time events, or both.

Abstract: Systems and methods for optimizing system performance of capacity and spectrum constrained, multiple-access communication systems by selectively discarding packets are provided. The systems and methods provided herein can drive changes in the communication system using control responses. One such control responses includes the optimal discard (also referred to herein as “intelligent discard”) of network packets under capacity constrained conditions. Some embodiments provide an interactive response by selectively discarding packets to enhance perceived and actual system throughput, other embodiments provide a reactive response by selectively discarding data packets based on their relative impact to service quality to mitigate oversubscription, others provide a proactive response by discarding packets based on predicted oversubscription, and others provide a combination thereof.

Abstract: 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. Data packets are analyzed at multiple protocol levels to detect characteristics associated with communicating the packets. The data packets are filtered so that detecting the characteristics is efficiently performed. The detected characteristics can be used for scheduling transmission of the packets. The detected characteristics can be used to dynamically change scheduling parameters. The dynamic scheduling parameters can 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.

Abstract: Systems and methods for optimizing system performance of capacity and spectrum constrained, multiple-access communication systems by selectively discarding packets are provided. The systems and methods provided herein can drive changes in the communication system using control responses. One such control responses includes the optimal discard (also referred to herein as “intelligent discard”) of network packets under capacity constrained conditions. Some embodiments provide an interactive response by selectively discarding packets to enhance perceived and actual system throughput, other embodiments provide a reactive response by selectively discarding data packets based on their relative impact to service quality to mitigate oversubscription, others provide a proactive response by discarding packets based on predicted oversubscription, and others provide a combination thereof.

Abstract: Systems and methods for optimizing system performance of capacity and spectrum constrained, multiple-access communication systems by selectively discarding packets are provided. The systems and methods provided herein can drive changes in the communication system using control responses. One such control responses includes the optimal discard (also referred to herein as “intelligent discard”) of network packets under capacity constrained conditions. Some embodiments provide an interactive response by selectively discarding packets to enhance perceived and actual system throughput, other embodiments provide a reactive response by selectively discarding data packets based on their relative impact to service quality to mitigate oversubscription, others provide a proactive response by discarding packets based on predicted oversubscription, and others provide a combination thereof.

Abstract: 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.

Abstract: Systems and methods for optimizing system performance of capacity and spectrum constrained, multiple-access communication systems by selectively discarding packets are provided. The systems and methods provided herein can drive changes in the communication system using control responses. One such control responses includes the optimal discard (also referred to herein as “intelligent discard”) of network packets under capacity constrained conditions. Some embodiments provide an interactive response by selectively discarding packets to enhance perceived and actual system throughput, other embodiments provide a reactive response by selectively discarding data packets based on their relative impact to service quality to mitigate oversubscription, others provide a proactive response by discarding packets based on predicted oversubscription, and others provide a combination thereof.

Abstract: Capacity and spectrum constrained, multiple-access communication systems optimize performance by selectively discarding packets. Changes in the communication systems may be driven using control responses. Control responses include intelligent discard of network packets under capacity constrained conditions. Packets are prioritized and discard decisions are made based on the prioritization. Various embodiments provide an interactive response by selectively discarding packets to enhance perceived and actual system throughput, provide a reactive response by selectively discarding data packets based on their relative impact to service quality to mitigate oversubscription, provide a proactive response by discarding packets based on predicted oversubscription, or provide a combination thereof. Packets may be prioritized for discard using correlations between discards and bandwidth reduction and quality degradation. The quality degradation for video packets may be measured objectively.

Abstract: 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.