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1.发明公开公开(公告)号：US20240314587A1
公开(公告)日：2024-09-19
申请号：US18604199
申请日：2024-03-13
Applicant: CradlePoint, Inc.
Inventor： Deepak Nair , Saqib Syed , Fengpei Zhang , Nataranjan Venkataraman , Anubhav Arora , Ahmad Rostami , Jitendra Manocha , Jose Luis Mariz
Abstract: Systems and methods for providing Software as a Service (SaaS) optimization as a service offering in a 5G network, the system including a network device, including a device processor, configured to communicate over at least a 5G network wherein the network device comprises a set of instructions to cause the device processor to implement an enterprise policy for SaaS optimization over 5G network infrastructure, a data center, including a data center processor, in communication with at least the 5G network wherein the data center includes a set of instructions to cause the data center processor to respond to the network device implementing the enterprise policy for SaaS optimization by mapping the enterprise policy for SaaS optimization to the 5G network infrastructure, and a service account processor that includes a set of instructions to provide a service account control plane configured to enable a user to configure the enterprise policy for SaaS optimization.
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Patent Agency Ranking
2.发明公开公开(公告)号：US20240089027A1
公开(公告)日：2024-03-14
申请号：US17931350
申请日：2022-09-12
Applicant: CradlePoint, Inc.
Inventor： Natarajan Venkataraman , Prashant Pai , Deepak Nair
IPC: H04L1/00
CPC classification number: H04L1/0041 , H04L1/0017 , H04L1/0045
Abstract: Computer-implemented systems and methods for Forward Error Correction (FEC) at the IP-Layer with adaptive bandwidth overhead minimization in a packet transmission network, the system including an FEC encoder to process IP packets and generate FEC encoded packets and repair packets, an FEC decoder to receive and process the FEC encoded packets and repair packets, and an FEC controller that includes a set of computer-implemented instructions to carry out functions including configuring an FEC algorithm to control FEC encoding and decoding, packet recovery, and retrieve packet transmission statistics, determining if network bandwidth overhead needs adjustment, controlling tuning parameters, and implementing predictive analysis based at least in part on historic data.
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公开(公告)号：US20240314173A1
公开(公告)日：2024-09-19
申请号：US18604114
申请日：2024-03-13
Applicant: CradlePoint, Inc.
Inventor： Deepak Nair , Saquid Syed , Fengpei Zhang , Nataranjan Venkataraman , Anubhav Arora , Ahmad Rostami , Jitendra Manocha , Jose Luis Mariz
Abstract: Systems and methods for Multi-access Edge Computing (MEC) in a 5G network. The system including a network device, including a device processor, configured to communicate over at least a 5G network wherein the network device comprises a set of instructions to cause the device processor to implement an enterprise policy for MEC over 5G network infrastructure, a data center, including a data center processor, in communication with at least the 5G network wherein the data center includes a set of instructions to cause the data center processor to respond to the network device implementing the enterprise policy for MEC by mapping the enterprise policy for MEC to the 5G network infrastructure, and a service account processor that includes a set of instructions to provide a service account control plane configured to enable a user to configure the enterprise policy for MEC.
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4.发明公开公开(公告)号：US20230180051A1
公开(公告)日：2023-06-08
申请号：US17544704
申请日：2021-12-07
Applicant: CradlePoint, Inc.
Inventor： Deepak Nair , Prashant Pai
CPC classification number: H04W28/0268 , H04W24/08
Abstract: A method and a system for steering traffic in a wireless network. The method and system include an ingress point and an egress point of the wireless network with a plurality of paths between the two points. A plurality of hops are located along the plurality of paths. The plurality of paths may be bound as a single pipe at a logical level. The system may determine a quality of experience (QOE) score. Automated steering policies may be based on the QOE score. Traffic may be steered at each hop based on the automated steering policies. The QOE score may be determined by measuring bandwidth, loss, latency, and jitter at each hop. A customer may provide prioritization at an application level and the automated steering policies may also be based on the customer prioritization.
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公开(公告)号：US20240314172A1
公开(公告)日：2024-09-19
申请号：US18604070
申请日：2024-03-13
Applicant: CradlePoint, Inc.
Inventor： Claes Meltzer , Nikolay Mikhailov , Deepak Nair , Saqib Syed
Abstract: Systems and methods for link bonding in a 5G network are disclosed. Embodiments of the system include a network device that communicates over at least a 5G network and registers on the 5G network and employs an enterprise link bonding policy. Embodiments also include a data center in communication with at least the 5G network that responds to the network device implementing the enterprise policy for link bonding 5G network slices by mapping the enterprise policy to 5G network infrastructure. Embodiments also include a service account that provides a service account control plane to enable a user to configure parameters for the link bonding.
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公开(公告)号：US12200534B2
公开(公告)日：2025-01-14
申请号：US17544704
申请日：2021-12-07
Applicant: CradlePoint, Inc.
Inventor： Deepak Nair , Prashant Pai
Abstract: A method and a system for steering traffic in a wireless network. The method and system include an ingress point and an egress point of the wireless network with a plurality of paths between the two points. A plurality of hops are located along the plurality of paths. The plurality of paths may be bound as a single pipe at a logical level. The system may determine a quality of experience (QOE) score. Automated steering policies may be based on the QOE score. Traffic may be steered at each hop based on the automated steering policies. The QOE score may be determined by measuring bandwidth, loss, latency, and jitter at each hop. A customer may provide prioritization at an application level and the automated steering policies may also be based on the customer prioritization.
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