公开(公告)号：US20210258988A1

公开(公告)日：2021-08-19

申请号：US17251117

申请日：2018-09-28

Applicant: Intel Corporation

Inventor： Ravikumar Balakrishnan ,  Nageen Himayat ,  Yiting Liao ,  Gabriel Arrobo Vidal ,  Roya Doostnejad ,  Vijay Sarathi Kesavan ,  Venkatesan Nallampatti Ekambaram ,  Maria Ramirez Loaiza ,  Vallabbajosyula S. Somayazulu ,  Srikathyayani Srikanteswara

IPC: H04W72/12 ,  H04W24/10 ,  H04W24/02 ,  H04W88/04 ,  H04W72/04 ,  H04W16/14 ,  G06K9/62 ,  G06N3/08

Abstract: Systems and methods of using machine-learning to improve communications across different networks are described. A CIRN node identifies whether it is within range of a source and destination node in a different network using explicit information or a machine-learning classification model. A neural network is trained to avoid interference using rewards associated with reduced interference or retransmission levels in each network or improved throughput at the CIRN node. A machine-learning scheduling algorithm determines a relay mode of the CIRN node for source and destination node transmissions. The scheduling algorithm is based on the probability of successful transmission between the source and destination nodes multiplied by a collaboration score for successful transmission and the probability of unsuccessful transmission of the particular packet multiplied by a collaboration score for unsuccessful transmission.

公开(公告)号：US10863585B2

公开(公告)日：2020-12-08

申请号：US16433116

申请日：2019-06-06

Applicant: Intel Corporation

Inventor： Alexander W. Min ,  Laurent Cariou ,  Thomas J. Kenney ,  Rath Vannithamby ,  Ravikumar Balakrishnan

IPC: H04W88/10 ,  H04W80/08 ,  H04W72/04 ,  H04W56/00 ,  H04W80/02 ,  H04L1/00 ,  H04L1/16 ,  H04W4/80 ,  H04W84/12 ,  H04L5/00

Abstract: Embodiments of an access point (AP), station (STA), and method of communication are generally described herein. The AP may perform channel sensing in a first channel of a first frequency band and a second channel of a second frequency band to obtain access for transmission of a physical layer convergence procedure (PLCP) protocol data unit (PPDU) that comprises multiple subframes. The transmission of the PPDU may be configurable to use a multi-band layer-1 aggregation of the first and second channels. While the second channel is unavailable, the AP may transmit one or more subframes on the first channel without usage of the multi-band layer-1 aggregation. When it is determined that the second channel has become available, the AP may switch to synchronized transmission of the subframes on the first and second channels in accordance with the multi-band layer-1 aggregation.

公开(公告)号：US20200259885A1

公开(公告)日：2020-08-13

申请号：US16457402

申请日：2019-06-28

Applicant: Intel Corporation

Inventor： S. M. Iftekharul Alam ,  Stepan Karpenko ,  Satish Chandra Jha ,  Yi Zhang ,  Kuilin Clark Chen ,  Kathiravetpillai Sivanesan ,  Gabriel Arrobo Vidal ,  Srikathyayani Srikanteswara ,  Hassnaa Moustafa ,  Eve M. Schooler ,  Sebastian Schoenberg ,  Venkatesan Nallampatti Ekambaram ,  Ravikumar Balakrishnan

IPC: H04L29/08 ,  H04W4/029 ,  G06F9/44

Abstract: To address technical problems facing managing multiple sources of information from multiple vehicles, vehicular computing power may be exploited to process such information before sharing with others, which may help reduce network traffic overhead. A technical solution to improve this information processing over vehicular networks by using a hybrid Named Function Network (NFN) and Information Centric Network (ICN), such as in a hybrid NFN/ICN. An NFN may be used to orchestrate computations in a highly dynamic environment after decomposing the computations into a number of small functions. A function may include a digitally signed binary supplied by a car vendor or other trusted authority and executed within a controlled environment, such as a virtual machine, container, Java runtime-environment, or other controlled environment.

公开(公告)号：US20190045461A1

公开(公告)日：2019-02-07

申请号：US16134400

申请日：2018-09-18

Applicant: Intel Corporation

Inventor： Juan Fang ,  Laurent Cariou ,  Shahrnaz Azizi ,  Alexander W. Min ,  Thomas J. Kenney ,  Rath Vannithamby ,  Ravikumar Balakrishnan

IPC: H04W52/36 ,  H04W72/04 ,  H04W52/24

CPC classification number: H04W52/367 ,  H04B17/318 ,  H04L61/6022 ,  H04W52/245 ,  H04W72/0473 ,  H04W74/006 ,  H04W74/0816 ,  H04W84/12 ,  H04W88/08

Abstract: Methods, apparatuses, and computer readable media for power reduction in a wireless network are disclosed. An apparatus of a first access point is disclosed comprising processing circuitry configure to decode a first PPDU, the first PPDU including a trigger for control (TOC) frame, the TOC frame comprising resource allocations for deferral transmissions, the TOC frame including a first duration field indicating a duration of a transmission opportunity (TXOP). The processing circuitry may be further configured to respond to a determination that the TOC frame includes a resource allocation by encoding a second PPDU including a preamble portion and a media access control (MAC) portion including a receive with condition (ARC) frame, the ARC frame including a second duration field indicating a remaining duration of the TXOP, an address field indicating a MAC address of the first AP, and a condition field indicating a condition.

公开(公告)号：US12231490B2

公开(公告)日：2025-02-18

申请号：US18550856

申请日：2022-06-09

Applicant: Intel Corporation

Inventor： Mustafa Riza Akdeniz ,  Arjun Anand ,  Ravikumar Balakrishnan ,  Sagar Dhakal ,  Nageen Himayat

IPC: G06F13/00 ,  G06N3/098 ,  H04L67/10 ,  H04L67/289

Abstract: An apparatus of an edge computing node, a method, and a machine-readable storage medium. The apparatus is to decode messages from a plurality of clients within the edge computing network, the messages including respective coded data for respective ones of the plurality of clients; computing estimates of metrics related to a global model for federated learning using the coded data, the metrics including a gradient on the coded data; use the metrics to update the global model to generate an updated global model, wherein the edge computing node is to update the global model by calculating the gradient on the coded data based on a linear fit of the global model to estimated labels from the federated learning; and send a message including the updated global model for transmission to at least some of the clients.

公开(公告)号：US12078498B2

公开(公告)日：2024-09-03

申请号：US17131427

申请日：2020-12-22

Applicant: Intel Corporation

Inventor： Nesreen K. Ahmed ,  Ignacio J. Alvarez ,  Ravikumar Balakrishnan ,  Hesham Mostafa ,  Giuseppe Raffa ,  Nageen Himayat

IPC: G06N20/00 ,  G01C21/34 ,  G06N3/08

CPC classification number: G01C21/3484 ,  G06N3/08 ,  G06N20/00

Abstract: Methods, systems, and computer programs are presented for implementing Personalized Mobility as a Service (PMaaS) to improve transportation services delivery. One storage medium includes instructions for detecting, by a mobility as a service (MaaS) system, a request for a trip from a user device of a user. The storage medium further includes instructions for mapping, using a model executing on the machine, the user to a persona from a plurality of persona models. Each persona model has one or more characteristics associated with users of the MaaS system. Further yet, the storage medium includes instructions for determining trip parameters for the trip based on the persona mapped to the user, the trip parameters defining one or more trip segments for the trip, and instructions for providing trip parameters to the user device.

公开(公告)号：US11979315B2

公开(公告)日：2024-05-07

申请号：US16456687

申请日：2019-06-28

Applicant: Intel Corporation

Inventor： S. M. Iftekharul Alam ,  Satish Chandra Jha ,  Kuilin Clark Chen ,  Yi Zhang ,  Venkatesan Nallampatti Ekambaram ,  Ned M. Smith ,  Ravikumar Balakrishnan ,  Gabriel Arrobo Vidal ,  Kathiravetpillai Sivanesan ,  Stepan Karpenko ,  Jeffrey Christopher Sedayao ,  Srikathyayani Srikanteswara ,  Eve M. Schooler ,  Zongrui Ding

IPC: H04L69/14 ,  H04L45/24 ,  H04L45/302 ,  H04L47/12

CPC classification number: H04L45/306 ,  H04L45/24 ,  H04L47/12 ,  H04L69/14

Abstract: Systems and techniques for information centric network (ICN) interworking are described herein. For example, a request may be received at a convergence layer of a node. Here, the request originates from an application on the node. A network protocol, from several available to the node, may be determined to transmit the request. The node then transmits the request via the selected network protocol.

公开(公告)号：US20230177349A1

公开(公告)日：2023-06-08

申请号：US17920839

申请日：2021-05-29

Applicant: Intel Corporation

Inventor： Ravikumar Balakrishnan ,  Nageen Himayat ,  Mustafa Riza Akdeniz ,  Sagar Dhakal ,  Arjun Anand ,  Hesham Mostafa

IPC: G06N3/098 ,  H04L67/10

CPC classification number: G06N3/098 ,  H04L67/10

Abstract: The apparatus of an edge computing node, a system, a method and a machine-readable medium. The apparatus includes a processor to cause an initial set of weights for a global machine learning (ML) model to be transmitted a set of client compute nodes of the edge computing network; process Hessians computed by each of the client compute nodes based on a dataset stored on the client compute node; evaluate a gradient expression for the ML model based on a second dataset and an updated set of weights received from the client compute nodes; and generate a meta-updated set of weights for the global model based on the initial set of weights, the Hessians received, and the evaluated gradient expression.

公开(公告)号：US11665777B2

公开(公告)日：2023-05-30

申请号：US17251117

申请日：2018-09-28

Applicant: Intel Corporation

Inventor： Ravikumar Balakrishnan ,  Nageen Himayat ,  Yiting Liao ,  Gabriel Arrobo Vidal ,  Roya Doostnejad ,  Vijay Sarathi Kesavan ,  Venkatesan Nallampatti Ekambaram ,  Maria Ramirez Loaiza ,  Vallabhajosyula S. Somayazulu ,  Srikathyayani Srikanteswara

IPC: H04W72/12 ,  H04W72/1263 ,  G06K9/62 ,  G06N3/08 ,  H04W16/14 ,  H04W24/02 ,  H04W24/10 ,  H04W72/0446 ,  H04W88/04

CPC classification number: H04W72/1263 ,  G06K9/6262 ,  G06N3/08 ,  H04W16/14 ,  H04W24/02 ,  H04W24/10 ,  H04W72/0446 ,  H04W72/1231 ,  H04W88/04

Abstract: Systems and methods of using machine-learning to improve communications across different networks are described. A CIRN node identifies whether it is within range of a source and destination node in a different network using explicit information or a machine-learning classification model. A neural network is trained to avoid interference using rewards associated with reduced interference or retransmission levels in each network or improved throughput at the CIRN node. A machine-learning scheduling algorithm determines a relay mode of the CIRN node for source and destination node transmissions. The scheduling algorithm is based on the probability of successful transmission between the source and destination nodes multiplied by a collaboration score for successful transmission and the probability of unsuccessful transmission of the particular packet multiplied by a collaboration score for unsuccessful transmission.

公开(公告)号：US11533316B2

公开(公告)日：2022-12-20

申请号：US16455211

申请日：2019-06-27

Applicant: Intel Corporation

Inventor： Ned M. Smith ,  Srikathyayani Srikanteswara ,  Ravikumar Balakrishnan ,  Rajesh Poornachandran ,  Moreno Ambrosin

IPC: H04L9/40 ,  H04L9/32 ,  H04L69/22 ,  H04W60/00

Abstract: Systems and techniques for information-centric network namespace policy-based content delivery are described herein. A registration request may be received from a node on an information-centric network (ICN). Credentials of the node may be validated. The node may be registered with the ICN based on results of the validation. A set of content items associated with the node may be registered with the ICN. An interest packet may be received from a consumer node for a content item of the set of content items that includes an interest packet security level for the content item. Compliance of the security level of the node with the interest packet security level may be determined. The content item may be transmitted to the consumer node.