公开(公告)号：US20220408262A1

公开(公告)日：2022-12-22

申请号：US17355033

申请日：2021-06-22

Applicant: Microsoft Technology Licensing, LLC

Inventor： Stefan SAROIU ,  Paramvir BAHL ,  Manikanta KOTARU

IPC: H04W12/10 ,  H04L27/26 ,  H04W72/12 ,  H04W12/03

Abstract: Slice control elements in a 5G slicing framework are instantiated in trusted hardware to provide for sealed data transmission in a trusted slice. In addition to sealing the data plane in the trusted slice, the control plane for the slice may be secured by the instantiation into the trusted hardware of layer 2 (medium access control—MAC) scheduling functions for radio resources (e.g., subcarriers and time slots). Layer 1 (physical—PHY) may also be configured to further enhance security of the trusted slice by isolating its PHY layer from that of other trusted and non-trusted slices. Such isolation may be implemented, for example, by using dedicated PHY resources, or by limiting resource time sharing to provide temporal isolation.

公开(公告)号：US20220407890A1

公开(公告)日：2022-12-22

申请号：US17355056

申请日：2021-06-22

Applicant: Microsoft Technology Licensing, LLC

Inventor： Stefan SAROIU ,  Paramvir BAHL

IPC: H04L29/06 ,  H04W12/06 ,  H04W12/03

Abstract: Slices of a 5G network may be configured to implement a trust model by which network customers are provided with assurances that slice properties meet agreed-upon criteria specified by customer policy so that slices can be trusted. Illustrative slice properties may pertain to service types, geographic area of operations, and attributes associated with software, firmware, and hardware used in the infrastructure of nodes in a trusted slice. Particular values of the properties describe a slice configuration that may be measured, digested, and attested to the customer to provide assurances that the configuration conforms with the policy. The 5G slice trust model may be implemented as a two-way model in which a slice provider performs checks to verify slice properties while customers ensure that only authenticated and authorized user equipment (UE) will access a trusted slice.

公开(公告)号：US20220400085A1

公开(公告)日：2022-12-15

申请号：US17348701

申请日：2021-06-15

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Ganesh ANANTHANARAYANAN ,  Yuanchao SHU ,  Paramvir BAHL

IPC: H04L12/911 ,  H04L12/923

Abstract: Computing resources are managed in a computing environment comprising a computing service provider and an edge computing network. The edge computing network comprises computing and storage devices configured to extend computing resources of the computing service provider to remote users of the computing service provider. The edge computing network collects capacity and usage data for computing and network resources at the edge computing network. The capacity and usage data is sent to the computing service provider. Based on the capacity and usage data, the computing service provider, using a cost function, determines a distribution of workloads pertaining to a processing pipeline that has been partitioned into the workloads. The workloads can be executed at the computing service provider or the edge computing network.

公开(公告)号：US20220374262A1

公开(公告)日：2022-11-24

申请号：US17324039

申请日：2021-05-18

Applicant: Microsoft Technology Licensing, LLC

Inventor： Paramvir BAHL ,  Daehyeok KIM ,  Anuj KALIA ,  Alastair WOLMAN

IPC: G06F9/48 ,  H04W36/22

Abstract: Systems and methods are provided for offloading a task from a central processor in a radio access network (RAN) server to one or more heterogeneous accelerators. For example, a task associated with one or more operational partitions (or a service application) associated with processing data traffic in the RAN is dynamically allocated for offloading from the central processor based on workload status information. One or more accelerators are dynamically allocated for executing the task, where the accelerators may be heterogeneous and may not comprise pre-programming for executing the task. The disclosed technology further enables generating specific application programs for execution on the respective heterogeneous accelerators based on a single set of program instructions. The methods automatically generate the specific application programs by identifying common functional blocks for processing data traffic and mapping the functional blocks to the single set of program instructions to generate code native to the respective accelerators.

公开(公告)号：US20240419698A1

公开(公告)日：2024-12-19

申请号：US18335787

申请日：2023-06-15

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ganesh ANANTHANARAYANAN ,  Manikanta KOTARU ,  Paramvir BAHL

IPC: G06F16/332 ,  G06F16/335

Abstract: A context analysis system receives a query from a user. The context analysis system generates one or multiple context profiles and generates a prompt for a foundation model for each of the context profiles. The context analysis system analyzes each of the context profiles and generates a relevancy score. The context analysis system selects one of the context profiles based on the relevancy score. In some examples, the context analysis system iteratively determines predicted latencies and relevancies of processing a query in conjunction with a generated context and, based on the predicted latencies and/or relevancies, processes the query using a foundation model, such as a large language model (LLM).

公开(公告)号：US20240119089A1

公开(公告)日：2024-04-11

申请号：US18537291

申请日：2023-12-12

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ganesh ANANTHANARAYANAN ,  Yuanchao SHU ,  Shadi NOGHABI ,  Paramvir BAHL ,  Landon COX ,  Alexander CROWN

IPC: G06F16/71 ,  G06F16/738 ,  G06F16/783 ,  G06V20/40

CPC classification number: G06F16/71 ,  G06F16/738 ,  G06F16/7837 ,  G06V20/40

Abstract: This document relates to performing live video stream analytics on edge devices. One example determines resources available to the system, and a video analytics configuration is selected that distributes work between edge devices and cloud devices in a cascading manner, where edge device processing is prioritized over cloud processing in order to conserve resources. This example can dynamically modify the allocation of processing depending on changing conditions, such as network availability.

公开(公告)号：US20240096063A1

公开(公告)日：2024-03-21

申请号：US18078402

申请日：2022-12-09

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ganesh ANANTHANARAYANAN ,  Yuanchao SHU ,  Paramvir BAHL ,  Tsuwang HSIEH

IPC: G06V10/77

CPC classification number: G06V10/7715 ,  G06V2201/10

Abstract: Systems and methods are provided for reusing and retraining an image recognition model for video analytics. The image recognition model is used for inferring a frame of video data that is captured at edge devices. The edge devices periodically or under predetermined conditions transmits a captured frame of video data to perform inferencing. The disclosed technology is directed to select an image recognition model from a model store for reusing or for retraining. A model selector uses a gating network model to determine ranked candidate models for validation. The validation includes iterations of retraining the image recognition model and stopping the iteration when a rate of improving accuracy by retraining becomes smaller than the previous iteration step. Retraining a model includes generating reference data using a teacher model and retraining the model using the reference data. Integrating reuse and retraining of models enables improvement in accuracy and efficiency.

公开(公告)号：US20240048258A1

公开(公告)日：2024-02-08

申请号：US18490209

申请日：2023-10-19

Applicant: Microsoft Technology Licensing, LLC

Inventor： Vaishnavi NATTAR RANGANATHAN ,  Jonathan Bernard LESTER ,  Jingxian WANG ,  Paramvir BAHL

IPC: H04B17/40 ,  H04B1/00 ,  H04B1/10

CPC classification number: H04B17/402 ,  H04B17/406 ,  H04B1/0003 ,  H04B1/10 ,  G06K17/0025

Abstract: The devices and methods leverage harmonics to resolve, separate, and identify devices. The devices and methods use the harmonic patterns associated with a frequency modulating (FM) signal to discern and extract information from the FM signal using correlation learning in a crowded spectrum space where the nodes are transmitting simultaneously on multiple channels. The methods and devices leverage harmonics to resolve, separate, and/or identify wireless communication devices.

公开(公告)号：US20230208851A1

公开(公告)日：2023-06-29

申请号：US18111115

申请日：2023-02-17

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ryan Andrew BECKETT ,  Sharad AGARWAL ,  Paramvir BAHL ,  Rachee SINGH ,  Abhishek UDUPA

IPC: H04L9/40 ,  H04L12/28 ,  H04L41/0893 ,  H04L43/10 ,  H04L41/0896

CPC classification number: H04L63/107 ,  H04L12/2869 ,  H04L41/0893 ,  H04L63/20 ,  H04L43/10 ,  H04L63/0263 ,  H04L41/0896

Abstract: Described are examples for providing a system for managing configuration and policies for a virtualized wide area network (vWAN) support on a wide area network (WAN). The vWAN includes a plurality of virtual network entities associated with geographic locations including the physical computing resources of the WAN and virtual connections between the virtual network entities. The system includes a network safety component for managing configurations and policies of the vWAN on the WAN. The network safety component receives a change to a policy or configuration of the vWAN from an operator of a network connected to the vWAN. The network safety component evaluates a set of safety rules for the operator based on the change and a network state of a physical WAN underlying the vWAN. The network safety component generates an error message in response to at least one of the set of safety rules failing the evaluation.

公开(公告)号：US20230088681A1

公开(公告)日：2023-03-23

申请号：US17478369

申请日：2021-09-17

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Rachee SINGH ,  Sharad AGARWAL ,  Ryan Andrew BECKETT ,  Abhishek UDUPA ,  Paramvir BAHL

IPC: H04L12/24

Abstract: Network capacity is provisioned in a computing environment comprising a computing service provider and an edge computing network. A cost function is applied to usage data for a number of user endpoints at the edge computing network, a number and type of workloads at the edge computing network, offload capability of the edge computing network, and resource capacities at the edge computing network. An estimated network capacity is determined, where the workloads are dynamic, and the cost function is usable to optimize the network capacity with respect to one or more criteria.