Dish Wireless L.l.c.

Cisco Technology, Inc.

Ashish Bansal

Siddhartha Chenumolu

Mehdi Alasti

Kazi Bashir

Ash Khamas

Paul-André Raymond

Dhaval Dipak Mehta

Manjari Asawa

David Zufall

A cellular network system for cellular communications observability, the system comprising: domains comprising systems generating data from a cellular network employing a core and clusters created using a containerized application; an observability (OBF) layer configured to collect the data and store the data over all of the domains; and a streaming platform data store configured for ingesting and processing streaming data in real-time and distributing the data to applications requesting such data, wherein the streaming platform extends completely over the OBF layer so that all data collected by the OBF layer is available to the streaming platform data store; and at least one storage transport layer.

Cellular system observability data bus layer extending over domain analytic collections layer

A system includes domains comprising systems generating data from a cellular network employing clusters created using a containerized application, and an observability (OBF) layer configured to collect the data over all of the domains and store the data at a common source. The system also includes a streaming platform data store configured for ingesting and processing streaming data in real-time and distributing the data to applications requesting such data. The streaming platform extends completely over the OBF layer so that all data collected by the OBF layer is available to the streaming platform data store. The system also includes a processor configured to collect data at the common source and manage the domains directly using the data collected at the common source.

Cellular system observability with centralized configuration management

Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

User plane function (UPF) load balancing based on network data analytics to predict load of user equipment

Systems and methods of scheduling bit rates for first-class traffic for a first and second class session for a device; honoring for the device each first class session with the bit rate equal to a session aggregate maximum bit rate (AMBR) by a scheduler by assigning a threshold for an aggregate bit rate for traffic for each first-class session; if a total of the aggregate bit rate of traffic for each first class session is below the threshold assigned, then assigning each first class session the session AMBR for first-class session traffic for the device; if the total of the aggregate bit rate of traffic for each first class session is above the threshold assigned, then proportionality scheduling packets of the traffic for the first class session of the device to limit the aggregate rate of the first-class traffic below the threshold.

Method and system for aggregate maximum bit rate (AMBR) management

Embodiments are directed towards embodiments are directed toward systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

User plane function (UPF) load balancing based on special considerations for low latency traffic

Techniques described herein provide pooling of radio access network (RAN) resources in a disaggregated RAN in a manner that enables dynamic re-homing of RAN functions with minimal disruption to stateful communications. The RAN is a hierarchical arrangement of RAN units, each having an associated state at any given time. A RAN state pooling system (RSPS) is in communication with a pool of the RAN units via a high-speed communication channel. The RSPS is configured to maintain an updated repository of the state information for the RAN units in its serviced pool. In the event of re-homing from a first RAN unit to a second RAN unit in the pool (e.g., due to the first RAN unit failing, becoming overloaded, etc.), the RSPS provides the second RAN unit with the updated state information for the first RAN unit to facilitate a stateful re-homing.

State pooling for stateful re-homing in a disaggregated radio access network

User plane function (UPF) load balancing based on current UPF load and thresholds that depend on UPF capacity

Various systems and methods for cellular network slice management are presented. An application may be determined to be authorized to manage a cellular network slice utilized by the application for communication with user equipment. A request can be received from the application to modify the cellular network slice from the application. In response to the request, a parameter of the cellular network slice may be modified. The cellular network can then use the modified slice for communication with user equipment for the cloud-based application.

Cellular network cloud application controlled slice management

Various arrangements for performing intelligent cellular channel management are presented herein. A physical cellular communication channel may be established between a user equipment (UE) and a cellular network for sending a short message service (SMS) message in response to a cellular service request from the UE. One or more characteristics of the UE, the SMS message, or both may be analyzed. A duration of time for which the physical cellular communication channel is to be kept active may be based on the analyzed one or more characteristics. A channel maintenance instruction may be transmitted to keep the physical cellular communication channel active based on a cellular network messaging controller determining to adjust the duration of time for which the physical cellular communication channel is kept active.

Intelligent cellular channel management

User plane function (UPF) load balancing supporting multiple slices

User plane function (UPF) load balancing based on central processing unit (CPU) and memory utilization of the user equipment (UE) in the UPF

This invention flexibly controls the number of user planes in a communication system. In a communication system, a base station is in a local area network and at least one user plane function arranged in a cloud are connected. A determination is made as to whether or not a new user plane function should be added, taking into consideration: the traffic amount, from the maximum traffic amount using the local area network, of user data transferred by the at least one user plane function using the local area network; and an anticipated traffic amount of a new user plane function.

Growing community of inventors

Frisco, TX, United States of America

Ashish Bansal