Patents by Inventor Petar Djukic

Petar Djukic has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230026370
    Abstract: Systems and methods include receiving network topology information of a network including a plurality of routers; receiving link measurements defining bandwidth on links in the network; determining routes in the network based on the network topology information; and utilizing the routes and the link measurements to determine an estimate of an initial traffic matrix that includes the bandwidth between origin routers and destination routers.
    Type: Application
    Filed: July 13, 2021
    Publication date: January 26, 2023
    Inventors: Maryam Amiri, John Wade Cherrington, Petar Djukic
  • Publication number: 20230022401
    Abstract: Systems and methods for forecasting time series data are provided. In one implementation, a method includes the steps of obtaining time series data from a network. The method also comprises the step of determining one or more forecasters to be used based on a type of the time series data and based on previous training that determine that the one or more forecasters from a number of forecasters are best suited for the type of time series data. The method further comprises making a forecast of the time series data using the one or more forecasters and to save and/or display the forecast.
    Type: Application
    Filed: July 22, 2021
    Publication date: January 26, 2023
    Inventors: Maryam Amiri, Petar Djukic, Todd Morris
  • Publication number: 20220417672
    Abstract: An optical network element includes a connection to an optical fiber in an optical line system including a coherent receiver; a microphone configured to detect sound; and circuitry connected to the microphone and configured to cause transmission of information related to sounds detected by the microphone to a receiver at an end of the optical line system, wherein the transmission is over the optical fiber in the optical line system to the coherent receiver. The optical network element can include a polarization controlling device connected to the circuitry and configured to modulate a state-of-polarization (SOP) envelope for the transmission.
    Type: Application
    Filed: June 25, 2021
    Publication date: December 29, 2022
    Inventors: Petar Djukic, Yinqing Pei, Maryam Amiri
  • Publication number: 20220407597
    Abstract: Systems and methods are provided for utilizing polarization parameters obtained from an optical network to determine vibrations in optical fibers using coherent optics equipment and machine learning techniques. A method, according to one implementation, includes the step of obtaining a time-series dataset that includes measurements of polarization characteristics of light traversing an optical fiber of an optical network. The method also includes the step of detecting vibration characteristics of the optical fiber based on the time-series dataset. In some implementations, the time-series dataset may be a multi-variate dataset and the polarization characteristics may be related to transients in a State of Polarization (SOP). The SOP, for example, may be represented by an amplitude and a phase of an electric field vector and may be defined as having one of a linear polarization, elliptical polarization, and circular polarization.
    Type: Application
    Filed: May 17, 2022
    Publication date: December 22, 2022
    Inventors: Maryam Amiri, Ivan Radovic, Petar Djukic, Firouzeh Golaghazadeh
  • Publication number: 20220330027
    Abstract: Systems and methods for monitoring a network slice are provided. A method, according to one implementation, include extracting information from network traffic received from one or more User Plane Function (UPF) components of a network slice; examining the extracted information using Machine Learning (ML), and, in response to detecting of one or more malicious threats based on the examined extracted information by the ML, causing one or more actions to isolate the network traffic to protect at least the network slice from the one or more malicious threats.
    Type: Application
    Filed: June 13, 2022
    Publication date: October 13, 2022
    Inventors: Petar Djukic, David Jordan Krauss, James P'ford't Carnes, III, William Kaufmann, Balaji Subramaniam
  • Publication number: 20220272100
    Abstract: Systems and methods include monitoring packets, by a network edge device, from one or more endpoint devices where the packets are destined for corresponding application services in a network; classifying the one or more endpoint devices based on the monitoring into a corresponding trust level of a plurality of trust levels; and, responsive to a first endpoint device of the one or more endpoint devices being untrusted, steering the packets from the first endpoint device into a restricted zone.
    Type: Application
    Filed: May 13, 2022
    Publication date: August 25, 2022
    Inventors: James P. Carnes, III, David J. Krauss, Petar Djukic, Todd Morris
  • Publication number: 20220263842
    Abstract: Systems and methods for detecting intrusions, attacks, and sub-attacks launched against a network under observations are provided. A method, according to one implementation, includes obtaining network traffic information regarding data traffic in a network under observation and obtaining system log information regarding operations of the network under observation. The method further includes the step of inserting the network traffic information and system log information into one or more analysis procedures, where each analysis procedure is configured to detect a respective sub-attack of a multi-stage attack to which the network under observation is susceptible. Also, the method includes the step of combining the outputs of the one or more analysis procedures to detect whether one or more sub-attacks have been launched against the network under observation.
    Type: Application
    Filed: January 7, 2022
    Publication date: August 18, 2022
    Inventors: Zhiyan Chen, Murat Simsek, Burak Kantarci, Petar Djukic, James P'ford't Carnes, III, Mehran Bagheri, Jinxin Liu, Yu Shen
  • Patent number: 11363031
    Abstract: A network edge device includes switching circuitry configured to switch traffic from one or more endpoint devices to corresponding application services over a network; and processing circuitry configured to monitor the traffic from the one or more endpoint devices, compare the monitored traffic to classify the one or more endpoint devices into a corresponding trust level of a plurality of trust levels, and route the traffic from each of the one or more endpoint devices based on its corresponding trust level. The network edge element is configured to provide network connectivity to the one or more endpoint devices.
    Type: Grant
    Filed: July 26, 2019
    Date of Patent: June 14, 2022
    Assignee: Ciena Corporation
    Inventors: James P. Carnes, III, David J. Krauss, Petar Djukic, Todd Morris
  • Patent number: 11356320
    Abstract: Systems and methods for detecting patterns in data from a time-series are provided. According to some implementations, the systems and methods may use network topology information combined with object recognition techniques to detect patterns. One embodiment of a method includes the steps of obtaining information defining a topology of a multi-layer network having a plurality of Network Elements (NEs) and a plurality of links interconnecting the NEs and receiving Performance Monitoring (PM) metrics and one or more alarms from the multi-layer network. Based on the information defining the topology, the PM metrics, and the one or more alarms, the method also includes the step of utilizing a Machine Learning (ML) process to identify a problematic component from the plurality of NEs and links and to identify a root cause associated with the problematic component.
    Type: Grant
    Filed: July 23, 2020
    Date of Patent: June 7, 2022
    Assignee: Ciena Corporation
    Inventors: David Côté, Petar Djukic, Thomas Triplet, Todd Morris, Paul Gosse, Dana Dennis, Emil Janulewicz, Patrick Premont
  • Patent number: 11356174
    Abstract: Systems, methods, and computer-executable programs are provided for estimating margin in a network path. A method, according to one implementation, includes the step of executing a section-based analysis by estimating a margin parameter for each section of a plurality of sections forming a path through a network. The margin parameter is related to at least an available Optical Signal-to-Noise Ratio (OSNR) parameter and a Required OSNR (ROSNR) parameter. The method further includes the step of combining the estimated margin parameters for the plurality of sections to obtain a section-based estimate. In response to determining that the section-based estimate falls outside an acceptable confidence range, the method includes executing an additional path-based analysis to modify the estimate of the margin parameter.
    Type: Grant
    Filed: January 20, 2021
    Date of Patent: June 7, 2022
    Assignee: Ciena Corporation
    Inventors: Firouzeh Golaghazadeh, Wentao Cui, Salim Tariq, Petar Djukic
  • Patent number: 11316755
    Abstract: Systems and methods of service enhancement in a Software Defined Networking (SDN) network include performing an evaluation of one or more services in the SDN network for service enhancements; performing a scoring of the service enhancements of the one or more services; and causing implementation of at least one of the service enhancements in the SDN network. The evaluation can be based on temporarily implementing the service enhancements and measuring a benefit thereof. The evaluation can also be based on estimating the service enhancements based on historical measurements from the SDN network.
    Type: Grant
    Filed: November 8, 2017
    Date of Patent: April 26, 2022
    Assignee: Ciena Corporation
    Inventors: Petar Djukic, Todd Morris, David Jordan Krauss
  • Patent number: 11153229
    Abstract: System and methods for autonomous resource partitioning in a network include a resource controller configured to provision resources which are any of virtual resources and physical resources in one or more layers in the network and monitor availability of the resources in the network; a resource manager configured to determine the any of virtual resources and physical resources as required for Quality of Service (QoS) in the network; a resource broker configured to advertise and assign resource requests to corresponding resources; and a partition manager configured to track the utilization of the resources provided by the one or more layers and to adjust resource usage of the resources in negotiation with the resource broker to minimize a cost of implementation.
    Type: Grant
    Filed: January 18, 2019
    Date of Patent: October 19, 2021
    Assignee: Ciena Corporation
    Inventors: Petar Djukic, Todd Morris, Emil Janulewicz, David Jordan Krauss, Kaniz Mahdi, Paul Littlewood
  • Publication number: 20210303969
    Abstract: Deep Neural Networks (DNNs) for forecasting future data are provided. In one embodiment, a non-transitory computer-readable medium is configured to store computer logic having instructions that, when executed, cause one or more processing devices to receive, at each of a plurality of Deep Neural Network (DNN) forecasters, an input corresponding to a time-series dataset of a plurality of input time-series datasets. The instructions further cause the one or more processing devices to produce, from each of the plurality of DNN forecasters, a forecast output and provide the forecast output from each of the plurality of DNN forecasters to a DNN mixer for combining the forecast outputs to produce one or more output time-series datasets.
    Type: Application
    Filed: March 30, 2020
    Publication date: September 30, 2021
    Inventors: Maryam Amiri, Petar Djukic, Todd Morris
  • Publication number: 20210266937
    Abstract: A method embodiment includes implementing, by a base station (BS), a grant-free uplink transmission scheme. The grant-free uplink transmission scheme defines a first contention transmission unit (CTU) access region in a time-frequency domain, defines a plurality of CTUs, defines a default CTU mapping scheme by mapping at least some of the plurality of CTUs to the first CTU access region, and defines a default user equipment (UE) mapping scheme by defining rules for mapping a plurality of UEs to the plurality of CTUs.
    Type: Application
    Filed: May 13, 2021
    Publication date: August 26, 2021
    Inventors: Kelvin Kar Kin Au, Hosein Nikopour, Petar Djukic, Zhihang Yi, Alireza Bayesteh, Jianglei Ma, Mohammadhadi Baligh, Liqing Zhang
  • Patent number: 11057495
    Abstract: Telecommunications systems and associated methods are provided for determining where data is to be processed. According to a procedural implementation of the present disclosure, a method includes the step of receiving data associated with an Internet of Things (IoT) device and evaluating a plurality of processing factors related to the data. Based on the step of evaluating the plurality of processing factors, the method further comprises selecting where the data will be processed.
    Type: Grant
    Filed: May 1, 2019
    Date of Patent: July 6, 2021
    Assignee: Ciena Corporation
    Inventors: Dmitri Fedorov, Joseph Alexander, Marco Naveda, Nelson Chao, Petar Djukic
  • Patent number: 11019645
    Abstract: A method embodiment includes implementing, by a base station (BS), a grant-free uplink transmission scheme. The grant-free uplink transmission scheme defines a first contention transmission unit (CTU) access region in a time-frequency domain, defines a plurality of CTUs, defines a default CTU mapping scheme by mapping at least some of the plurality of CTUs to the first CTU access region, and defines a default user equipment (UE) mapping scheme by defining rules for mapping a plurality of UEs to the plurality of CTUs.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: May 25, 2021
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Kelvin Kar Kin Au, Hosein Nikopour, Petar Djukic, Zhihang Yi, Alireza Bayesteh, Jianglei Ma, Mohammadhadi Baligh, Liqing Zhang
  • Publication number: 20210150305
    Abstract: Systems, methods, and computer-readable medium for forecasting a time-series are provided. In one implementation, a method is configured to include a step of providing a time-series to a neural network including one or more branches for processing one or more portions of the time-series. In each of the one or more branches, the method includes separating the respective portion of the time-series into individual portions and applying each portion to a respective sub-branch of a plurality of sub-branches of the one or more branches. The method also includes generating forecasting coefficients for each output time point in each of the respective sub-branches and providing a forecast of the time-series based at least on the forecasting coefficients.
    Type: Application
    Filed: November 19, 2019
    Publication date: May 20, 2021
    Inventors: Maryam Amiri, Petar Djukic, Todd Morris
  • Patent number: 11013024
    Abstract: A method embodiment includes implementing, by a base station (BS), a grant-free uplink transmission scheme. The grant-free uplink transmission scheme defines a first contention transmission unit (CTU) access region in a time-frequency domain, defines a plurality of CTUs, defines a default CTU mapping scheme by mapping at least some of the plurality of CTUs to the first CTU access region, and defines a default user equipment (UE) mapping scheme by defining rules for mapping a plurality of UEs to the plurality of CTUs.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: May 18, 2021
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Kelvin Kar Kin Au, Hosein Nikopour, Petar Djukic, Zhihang Yi, Alireza Bayesteh, Jianglei Ma, Mohammadhadi Baligh, Liqing Zhang
  • Publication number: 20210089927
    Abstract: Systems and methods for detecting patterns in data from a time-series and for detecting outliers in network data in an unsupervised manner are provided. In one implementation, a method includes the steps of obtaining network data from a network to be monitored and creating a window from the obtained network data. The method also includes the step of detecting outliers of the obtained data with respect to the window using an unsupervised deep learning process (e.g., using a Generalized Adversarial Network (GAN) learning technique and/or a Bidirectional GAN (BiGAN) learning technique) for enabling the learning of a data distribution. The unsupervised process, for example, does not require manual intervention.
    Type: Application
    Filed: August 14, 2019
    Publication date: March 25, 2021
    Inventors: Sid Ryan, Petar Djukic, Todd Morris
  • Publication number: 20210076111
    Abstract: A mapper includes circuitry configured to receive data streams each or which is a stream of data based on a calendar function associated with one of Flexible Ethernet (FlexE) or Metro Transport Networking (MTN); and circuitry configured to perform mapping of each of the data streams and to provide an output of the mapping to a device in a wireless data plane for transmission over one or more wireless links. The mapping can include packet mapping where the stream of blocks is encapsulated into packets. The mapping can include byte mapping where the stream of blocks is converted into a byte stream that is provided to a Radio Link Control (RLC) layer that guarantees byte delivery in order at a receiver. The mapping can also include bit mapping wherein the stream of blocks is transferred as a stream of bits to a transport buffer Service Access Point (SAP).
    Type: Application
    Filed: September 5, 2019
    Publication date: March 11, 2021
    Inventors: Stephen Daniel Shew, Sebastien Gareau, Petar Djukic