Vmware, Inc.

Uhana, Inc.

Aditya Gudipati

Srikanth Hariharan

Sarabjot Singh

Rakesh Misra

Adnan Raja

Manu Sharma

Amit Surendra Singh

Giridhar Subramani Jayavelu

Manu Bansal

Amit Singh

Alexandros Anemogiannis

Duyen Riggs

Deepak Khurana

Rohan Agarwal

Ben Basler

Rajiv Ramanathan

To provide a low latency near RT RIC, some embodiments separate the RIC's functions into several different components that operate on different machines (e.g., execute on VMs or Pods) operating on the same host computer or different host computers. Some embodiments also provide high speed interfaces between these machines. Some or all of these interfaces operate in non-blocking, lockless manner in order to ensure that critical near RT RIC operations (e.g., datapath processes) are not delayed due to multiple requests causing one or more components to stall. In addition, each of these RIC components also has an internal architecture that is designed to operate in a non-blocking manner so that no one process of a component can block the operation of another process of the component. All of these low latency features allow the near RT RIC to serve as a high speed IO between the E2 nodes and the xApps.

Running services in SDL of a RIC

Some embodiments provide a method of performing control plane operations in a radio access network (RAN). The method deploys several machines on a host computer. On each machine, the method deploys a control plane application to perform a control plane operation. The method also configures on each machine a RAN intelligent controller (RIC) SDK to serve as an interface between the control plane application on the same machine and a set of one or more elements of the RAN. In some embodiments, the RIC SDK on each machine includes a set of network connectivity processes that establish network connections to the set of RAN elements for the control plane application. These RIC SDK processes allow the control plane application on their machine to forego having the set of network connectivity processes. In some embodiments, the set of network connectivity processes of each RIC SDK of each machine establishes and maintains network connections between the machine and the set of RAN elements used by the control plane application of the machine, and handles data packet transport to and from the set of RAN elements for the control plane application.

SDL cache for O-RAN

Data IO and service on different pods of a RIC

RIC and RIC framework communication

A method for automated root cause analysis in mobile radio access networks, including: determining mobile radio access network data (e.g., RAN data); detecting an anomaly for a set of user sessions and/or cells from the RAN data; and classifying the detected anomalies using a set of root cause classifiers.

Intelligent anomaly detection and root cause analysis in mobile networks

Separate IO and control threads on one datapath Pod of a RIC

A system can include a network analysis platform that applies performance models to determine if a load imbalance exists at a cell, such as at a base station. The performance models are pre-trained based on network telemetry data. For a session at a cell, an expected load can be compared to an actual load to determine whether the session is impacted by a load imbalance. If the number of impacted sessions exceeds a threshold, the base station can be highlighted on a GUI. Additionally, the network analysis platform can perform root cause analysis of a victim cell based on session handoff analysis to determine how to decrease the imbalance impacts.

Service aware load imbalance detection and root cause identification

Systems and methods for providing information describing mobile network interference experienced by a mobile network.

Systems and methods for mobile network interference analysis

A graphical user interface ('GUI') allows for the creation of custom key performance indicators ('KPIs') for real-time analysis of network telemetry events. The GUI can include options for defining variables based on event attributes. These can correspond to events that exist in input telemetry streams at a stream processor. The GUI can allow creation of a formula based on these variables. An aggregation section specifies how the output of the formula is aggregated. This can be based on group, aggregation function, and time period. A manager process causes the stream processor to apply the custom KPI definition to real-time input streams. An output KPI stream can then be routed to a destination for analysis.

Composition of custom key performance indicators for real-time analysis of network telemetry events

Growing community of inventors

Los Angeles, CA, United States of America

Aditya Gudipati