Parallel Wireless, Inc.

A5g Networks, Inc.

Mushroom Networks, Inc.

Fuze, Inc.

Communications Acquisitions, LLC

Whaleback Systems Corporation

Telefonaktiebolaget Lm Ericsson (publ)

Powerwave Cognition, Inc.

Rajesh Kumar Mishra

Kaitki Agarwal

Steven Paul Papa

Sridhar Donepudi

Yang Cao

Sumit Garg

Kartik Shashikant Raval

Jitender Arora

Prashanth Rao

Murali Talluri

Pratik Vinod Mehta

Eugina Jordan

Zeev V Lubenski

Michael Yasuhiro Saji

Zahid Ghadialy

Julian Wray West

Randy Rutherford

Anupam Goyal

Abhijit Navalekar

Christopher Simmonds

Rene L Cruz

Steven Beaudette

Eric J Martin

Mustafa Arisoylu

Babak Jafarian

Harish Kumar Lohar

David Johnston

Jason Paul Jeffords

Fernando Cerioni

Darryl Dietz

Praveen Kumar

Pradeep Kumar Dakshayani Raghavan

Babu Rajagopal

H Cahit Akin

Arun Prasath

Gaurav Kumar

David Ruffen

Mohit Chugh

Simon Mellor

Santosh Kumar Pandey

Sharique Qureshi

Praveen Puvvadi

Anoop Kumar

Syed Intekhab Anjum

Arun Seshadri

Robert Sullivan

David Cooke

Louis Paquette

Michael C Silva

Gregory Copeland

Scott Y Seidel

Per Johansson

Ofir Ben Ari Katzav

Keith Johnson

Praneet Chivate

Peter Atwal

Ludger Schlicht

Baruch Navon

Jeffrey E Smith

Victor M T Pataca

Huseyin Cahit Akin

Steven Brigmann

Pratik Mehta

Kartik Raval

Systems, method sand computer readable medium are provided for proving a cloud-native OpenRan architecture. In one embodiment a system includes a 5G/4G/3G/2G cloud-native Open Radio Access Network (RAN) architecture open and standardized across multiple domains; wherein the multiple domains include at least one of RAN, edge, core, orchestration and analytics; and wherein the system includes an EPC virtual stack; a Radio Virtualization stack; and an Open RAN orchestrator in communication with the EPC virtual stack and the Radio Virtualization stack, wherein the Open Ran orchestrator provides communication between any haul in communication with the EPC virtual stack and any core in communication with the Radio Virtualization stack.

5G/4G/3G/2G cloud-native OpenRAN architecture

A method, system, and computer readable medium are disclosed for providing enterprise multi-technology core and subscriber management. In one embodiment a method includes providing an enterprise network including: at least one Open connect Provider (OP); at least one Access Point (AP) in communication with at least one OP; a locally placed edge core in communication with at least one AP; and using a single sign on service for the edge core to allow different services to be used by different users.

Enterprise multi-technology core and subscriber management

Systems, methods and computer software are disclosed for providing base station and Remote Radio Head (RRH) functionality. In one embodiment, a method is disclosed, the method for providing base station and Remote Radio Head (RRH) functionality in a base station, comprising: providing a baseband card; providing a radio head, the radio head coupled to the baseband card by way of an interface; and switching, under the control of a processor, between use of the baseband card and use of an external baseband unit for controlling the radio head, the external baseband unit used via a Common Public Radio Interface (CPRI) port, thereby providing dual base station and remote radio head functionality.

Hybrid base station and RRH

Systems, methods, and computer software are disclosed for providing an Open Radio Access Network (RAN) networking infrastructure. In one embodiment a method is disclosed, comprising: providing real-time OpenRAN controller responsible for radio connection management, mobility management, QoS management, edge services, and interference management for the quality of end user experience; and providing a non-real-time controller in communication with the real-time OpenRAN controller, the non-real-time controller providing functionality such as configuration management, device management, fault management, performance management, and lifecycle management for all network elements in a network.

OpenRAN networking infrastructure

Systems, methods and computer software are disclosed for providing an OpenRAN solution suite. In one embodiment, a method is disclosed, the method including communicating, by an all G COTS (Commercial off the Shelf) Base Band Unit (BBU), with a plurality of different G user devices; communicating, by a software platform, with the all G COTS BBU, wherein the software platform includes virtualized software providing open RAN controller functionality, network orchestrator functionality, and SON edge core functionality; and communicating, by the software platform, with a plurality of different G core networks.

OpenRAN solution suite

A system and method for dynamically creating distributed, self-adjusting and optimizing core network with machine learning is disclosed. The method includes receiving a request to access one or more services and establishing a secure real time communication session with one or more client devices and a set of service layers based on the received request. The method further includes determining one or more service parameters based on the received request and sending one or more handshake messages to each of the set of service layers. Further, the method includes determining one or more environmental parameters and determining best possible service layer capable of processing the received request by using a trained service based ML model. The method includes processing the request at the determined best possible service layer and terminating or transferring the secure real time communication session after the request is processed.

Distributed, self-adjusting and optimizing core network with machine learning

A gateway for X2 interface communication is provided, including: an X2 internal interface for communicating with, and coupled to, a plurality of radio access networks (RANs); and an X2 external interface for communicating with, and coupled to, a destination outside of the plurality of RANs, the X2 external interface further including a single X2 endpoint for the plurality of radio access networks, such that the X2 external interface provides a single interface for an external macro cell or core network to interact with the plurality of radio access networks. The gateway may further include a handover module for maintaining X2 signaling associations and transactions for incoming and outbound handovers, including X2 to S1 and S1 to X2 translation.

Federated X2 gateway

A system and method for autonomous data and signalling traffic management in a distributed infrastructure is disclosed. The method includes a distributed multi-cloud computing system with machine learning based intelligence across heterogenous computing platforms hosting mobile network functions, capable of leveraging AI based distribution across all the resources to creates autonomous network operations and intelligently work around any impairments. The method includes determining one or more service nodes by using a trained traffic management based ML model and establishing one or more cloud mesh links between the one or more service nodes at multiple levels of hierarchy based on the system, environment and network parameters and the current network demand. Further, the method includes processing the request by providing access of the one or more services hosted on the one or more external devices to the one or more electronic devices via the one or more cloud mesh links.

System and method for autonomous data and signalling traffic management in a distributed infrastructure

A method for scheduling resources in a network where the scheduling activity is split across two nodes in the network is disclosed, comprising: receiving, from a local scheduler in a first radio access network, access network information at a global scheduler; accessing information regarding a second radio access network allocating, at the global scheduler, resources for secondary allocation by the local scheduler; applying a hash function to map the allocated resources for secondary allocation to a set of hash values; and sending, from the global scheduler, the set of hash values to the local scheduler.

Elastic scheduling

A method for utilizing quality of service information in a network with tunneled backhaul is disclosed, comprising: establishing a backhaul bearer at a base station with a first core network, the backhaul bearer established by a backhaul user equipment (UE) at the base station, the backhaul bearer having a single priority parameter, the backhaul bearer terminating at a first packet data network gateway in the first core network; establishing an encrypted internet protocol (IP) tunnel between the base station and a coordinating gateway in communication with the first core network and a second core network; facilitating, for at least one UE attached at the base station, establishment of a plurality of UE data bearers encapsulated in the secure IP tunnel, each with their own QCI; and transmitting prioritized data of the plurality of UE data bearers via the backhaul bearer and the coordinating gateway to the second core network.

End-to-end prioritization for mobile base station

Systems, methods and computer software are disclosed for providing a Diameter multifold message. In one embodiment a method is disclosed, comprising: providing a multifold-command Attribute Value Pair (AVP), the multifold-command AVP including an AVP code, a set of VMP flags, an AVP length and a vendor ID; including the AVP in a Capabilities Exchange Request (CER) command for a Diameter stack supporting multiplexing of commands in one message; and using the AVP to combine messages from multiple applications running on a single Diameter node and multiple commands from a single application.

VoIP and native carrier call integration

A method may be disclosed in accordance with some embodiments, comprising: receiving, at a virtualizing gateway, a first service request from a first user equipment (UE) via a first eNodeB; creating, at the virtualizing gateway, an association from each of a plurality of UE identifiers to a desired core network; applying, at the virtualizing gateway, a first filter using a first UE identifier of the first UE, based on the association; forwarding, at the virtualizing gateway, based on the applied first filter, the first service request from the first UE to the first core network; receiving, at the virtualizing gateway, via a second eNodeB, a second service request from a second user equipment (UE); applying, at the virtualizing gateway, a second filter using a second UE identifier of the second UE, based on the association; and forwarding, at the virtualizing gateway, based on the applied second filter, the second service request from the second UE to the second core network.

SIM whitelisting and multi-operator core networks

Systems, methods and computer software are disclosed for demand-based dynamic carrier scaling. In one embodiment a method is disclosed, comprising: determining, at a gateway supporting dynamically created cells in a wireless network, whether there is a requirement for additional capacity; when there is a requirement for additional capacity, then providing, by the gateway, dynamically created cells as needed to handle the requirement for additional capacity; determining, at the gateway, whether there is a requirement for less capacity; and when there is a requirement for less capacity, then turning off, by the gateway, dynamically created cells as needed to handle the requirement for less capacity.

Demand-based dynamic carrier scaling

Described herein are systems and methods for providing software provisioning of functionality in a wireless communications device. Software-enabling functionality may include systems for granting a license to intellectual property or other pre-embedded functionality within a device. Communications to and from the device may be used to send or receive activation messages and/or licensing messages. Network capabilities may be provisioned using activation messages sent over the network. Activation messages may be sent in-band or out-of-band, for a device connected to the Internet and/or a mobile operator core network. Licenses may be required for any functions or intellectual property present on a given device. Activation may enable logical modules of a system-on-chip (SOC), functions of a software-defined radio (SDR), baseband, or DSP core. The disclosed systems and methods could thereby provide a new, flexible paradigm, namely, 'Silicon as a Service (SaaS).'

Software-enabled remote licensing and provisioning

Systems, methods and computer software are disclosed for providing a 5G native architecture. In one embodiment a method includes providing an all G software platform, including a core virtualization stack capable of communication with all hauls, and a radio virtualization stack capable of communication with all cores; and wherein the core virtualization stack communicates with an analytics layer, the analytics layer communicates with an orchestration layer, the orchestration layer communicates with a consolidation layer, and the consolidation layer communicates with the radio virtualization stack such that any G core is able to communicate with any G radio access network.

5G native architecture

Growing community of inventors

Westford, MA, United States of America

Rajesh Kumar Mishra