公开(公告)号：US20230120893A1

公开(公告)日：2023-04-20

申请号：US18065753

申请日：2022-12-14

Applicant: DISH Wireless L.L.C.

Inventor： Justin Wayne Caswell

IPC: G06Q10/0633 ,  G06F17/15

Abstract: Techniques are described for cognitive defined network management (CDNM) that seek to perform real-time collection and analysis of raw network data from across a disaggregated wireless network and to dynamically orchestrate network management functions substantially in real time, accordingly. For example, a multi-modal artificial intelligence (AI) engine is trained to normalize the heterogeneous raw network data into homogeneous so-called “golden record data.” A repository of historical golden records can be maintained for generating data models for use in training AI network management applications. An orchestrator can operate to directing execution of pre-developed network management workflows based on results obtained from querying the trained AI network management applications with newly received (real-time) golden records.

公开(公告)号：US20230057713A1

公开(公告)日：2023-02-23

申请号：US17407602

申请日：2021-08-20

Applicant: DISH Wireless L.L.C.

Inventor： Justin Wayne Caswell

IPC: G06Q10/06 ,  G06F17/15

Abstract: Techniques are described for cognitive defined network management (CDNM) that seek to perform real-time collection and analysis of raw network data from across a disaggregated wireless network and to dynamically orchestrate network management functions substantially in real time, accordingly. For example, a multi-modal artificial intelligence (AI) engine is trained to normalize the heterogeneous raw network data into homogeneous so-called “golden record data.” A repository of historical golden records can be maintained for generating data models for use in training AI network management applications. An orchestrator can operate to directing execution of pre-developed network management workflows based on results obtained from querying the trained AI network management applications with newly received (real-time) golden records.

公开(公告)号：US11568345B1

公开(公告)日：2023-01-31

申请号：US17407602

申请日：2021-08-20

Applicant: DISH Wireless L.L.C.

Inventor： Justin Wayne Caswell

IPC: G06Q10/06 ,  G06F17/15

Abstract: Techniques are described for cognitive defined network management (CDNM) that seek to perform real-time collection and analysis of raw network data from across a disaggregated wireless network and to dynamically orchestrate network management functions substantially in real time, accordingly. For example, a multi-modal artificial intelligence (AI) engine is trained to normalize the heterogeneous raw network data into homogeneous so-called “golden record data.” A repository of historical golden records can be maintained for generating data models for use in training AI network management applications. An orchestrator can operate to directing execution of pre-developed network management workflows based on results obtained from querying the trained AI network management applications with newly received (real-time) golden records.

公开(公告)号：US20210410017A1

公开(公告)日：2021-12-30

申请号：US17356976

申请日：2021-06-24

Applicant: DISH Wireless L.L.C.

Inventor： Justin Wayne Caswell

IPC: H04W28/24 ,  H04W28/02 ,  H04W4/02 ,  H04W28/20 ,  H04W24/02 ,  H04W24/10 ,  H04W16/18

Abstract: Various arrangements for managing a core cellular network of a cellular network are presented herein. A core network management system can receive a provisioning request for a plurality of user equipment (UE). Performance data from a plurality of cellular network data centers can be obtained and analyzed. An architecture of the core cellular network can be modified based on a machine learning model based on analyzing the performance data and the provisioning request.

公开(公告)号：US11836663B2

公开(公告)日：2023-12-05

申请号：US18065753

申请日：2022-12-14

Applicant: DISH Wireless L.L.C.

Inventor： Justin Wayne Caswell

IPC: G06Q10/0633 ,  G06F17/15

CPC classification number: G06Q10/0633 ,  G06F17/153

Abstract: Techniques are described for cognitive defined network management (CDNM) that seek to perform real-time collection and analysis of raw network data from across a disaggregated wireless network and to dynamically orchestrate network management functions substantially in real time, accordingly. For example, a multi-modal artificial intelligence (AI) engine is trained to normalize the heterogeneous raw network data into homogeneous so-called “golden record data.” A repository of historical golden records can be maintained for generating data models for use in training AI network management applications. An orchestrator can operate to directing execution of pre-developed network management workflows based on results obtained from querying the trained AI network management applications with newly received (real-time) golden records.