Abstract: A system and method for managing access congestion in a computer network, the system and method including: determining a plurality of channels within the computer network via a subscriber channel module; determining a set of subscribers for each of the channels of the plurality of channels via the subscriber channel module; determining a congestion level of each of the channels of the plurality of channels via an analysis module; determining each subscriber's impact on the respective channel based on each subscriber's network usage via the analysis module; and determining a reallocation of the subscribers to balance the channels, based on the congestion level and each subscriber's network usage, via a distribution module.

Abstract: A method for congestion management on a network including: determining whether a cell on the network is congested; identifying at least one heavy user on the cell; determine traffic flow criteria of the at least one heavy user; and shape network traffic of the at least one heavy user based on the traffic flow criteria of the heavy user. A system for congestion management on a network including: a QoE module configured to determine whether a cell on the network is congested; an analysis module configured to identify at least one heavy user on the cell and determine traffic flow criteria of the at least one heavy user; and at least one shaper configured to shape network traffic of the at least one heavy user based on the traffic flow criteria of the heavy user.

Abstract: A method and system for network management on a 5G network. The method including: building a subscriber persona associated with a subscriber on the network; predicting a traffic load on a network function based on the subscriber's persona; and allocating the subscriber to a network function based on the traffic load and the subscriber's persona. The system including: a subscriber persona builder configured to build a subscriber persona associated with a subscriber on the network; an analysis module configured to predict a traffic load on a network function based on the subscriber's persona; and an allocation module configured to allocate the subscriber to a network function based on the traffic load and the subscriber's persona.

Abstract: A method and system for remote diagnostic of Quality of Experience (QoE) for a subscriber on a computer network. The method includes: reviewing a traffic flow associated with a subscriber to determine performance statistics correlated with the traffic flow; determining subscriber data related to the subscriber associated with the traffic flow; analyzing the subscriber data and performance statistics to determine a traffic signature associated with the traffic flow; determining whether the traffic signature matches any of the plurality of known traffic signatures; and diagnosing the QoE issue based on the match of the traffic signatures.

Abstract: A system and method for managing access congestion in a computer network, the system and method including: determining a plurality of channels within the computer network via a subscriber channel module; determining a set of subscribers for each of the channels of the plurality of channels via the subscriber channel module; determining a congestion level of each of the channels of the plurality of channels via an analysis module; determining each subscriber's impact on the respective channel based on each subscriber's network usage via the analysis module; and determining a reallocation of the subscribers to balance the channels, based on the congestion level and each subscriber's network usage, via a distribution module.

Abstract: A method for congestion management on a network including: determining whether a cell on the network is congested; identifying at least one heavy user on the cell; determine traffic flow criteria of the at least one heavy user; and shape network traffic of the at least one heavy user based on the traffic flow criteria of the heavy user. A system for congestion management on a network including: a QoE module configured to determine whether a cell on the network is congested; an analysis module configured to identify at least one heavy user on the cell and determine traffic flow criteria of the at least one heavy user; and at least one shaper configured to shape network traffic of the at least one heavy user based on the traffic flow criteria of the heavy user.

Abstract: A system and method for managing access congestion in a computer network, the system and method including: determining a plurality of channels within the computer network via a subscriber channel module; determining a set of subscribers for each of the channels of the plurality of channels via the subscriber channel module; determining a congestion level of each of the channels of the plurality of channels via an analysis module; determining each subscriber's impact on the respective channel based on each subscriber's network usage via the analysis module; and determining a reallocation of the subscribers to balance the channels, based on the congestion level and each subscriber's network usage, via a distribution module.

Abstract: A method and system for network management on a 5G network. The method including: building a subscriber persona associated with a subscriber on the network; predicting a traffic load on a network function based on the subscriber's persona; and allocating the subscriber to a network function based on the traffic load and the subscriber's persona. The system including: a subscriber persona builder configured to build a subscriber persona associated with a subscriber on the network; an analysis module configured to predict a traffic load on a network function based on the subscriber's persona; and an allocation module configured to allocate the subscriber to a network function based on the traffic load and the subscriber's persona.

Abstract: A method for congestion management on a network including: determining whether a cell on the network is congested; identifying at least one heavy user on the cell; determine traffic flow criteria of the at least one heavy user; and shape network traffic of the at least one heavy user based on the traffic flow criteria of the heavy user. A system for congestion management on a network including: a QoE module configured to determine whether a cell on the network is congested; an analysis module configured to identify at least one heavy user on the cell and determine traffic flow criteria of the at least one heavy user; and at least one shaper configured to shape network traffic of the at least one heavy user based on the traffic flow criteria of the heavy user.

Abstract: A system and method for managing access congestion in a computer network, the system and method including: determining a plurality of channels within the computer network via a subscriber channel module; determining a set of subscribers for each of the channels of the plurality of channels via the subscriber channel module; determining a congestion level of each of the channels of the plurality of channels via an analysis module; determining each subscriber's impact on the respective channel based on each subscriber's network usage via the analysis module; and determining a reallocation of the subscribers to balance the channels, based on the congestion level and each subscriber's network usage, via a distribution module.

Abstract: A method and system for remote diagnostic of Quality of Experience (QoE) for a subscriber on a computer network. The method includes: reviewing a traffic flow associated with a subscriber to determine performance statistics correlated with the traffic flow; determining subscriber data related to the subscriber associated with the traffic flow; analyzing the subscriber data and performance statistics to determine a traffic signature associated with the traffic flow; determining whether the traffic signature matches any of the plurality of known traffic signatures; and diagnosing the QoE issue based on the match of the traffic signatures.

Abstract: A method and system for remote diagnostic of Quality of Experience (QoE) for a subscriber on a computer network. The method includes: reviewing a plurality of traffic flows associated with a subscriber to determine performance statistics correlated with each of the traffic flows; determining subscriber data related to the subscriber associated with the plurality of traffic flows; analyzing the subscriber data and performance statistics to determine a traffic signature associated with the plurality of traffic flows; retrieving a plurality of known traffic signatures associate with QoE issues; determining whether the traffic signature matches any of the plurality of known traffic signatures; and diagnosing the QoE issue based on the match of the traffic signatures.

Abstract: A method for congestion management on a network including: determining whether a cell on the network is congested; identifying at least one heavy user on the cell; determine traffic flow criteria of the at least one heavy user; and shape network traffic of the at least one heavy user based on the traffic flow criteria of the heavy user. A system for congestion management on a network including: a QoE module configured to determine whether a cell on the network is congested; an analysis module configured to identify at least one heavy user on the cell and determine traffic flow criteria of the at least one heavy user; and at least one shaper configured to shape network traffic of the at least one heavy user based on the traffic flow criteria of the heavy user.

Abstract: A method and system for remote diagnostic of Quality of Experience (QoE) for a subscriber on a computer network. The method includes: reviewing a plurality of traffic flows associated with a subscriber to determine performance statistics correlated with each of the traffic flows; determining subscriber data related to the subscriber associated with the plurality of traffic flows; analyzing the subscriber data and performance statistics to determine a traffic signature associated with the plurality of traffic flows; retrieving a plurality of known traffic signatures associate with QoE issues; determining whether the traffic signature matches any of the plurality of known traffic signatures; and diagnosing the QoE issue based on the match of the traffic signatures.