Patents by Inventor Anton Paatelma

Anton Paatelma 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).

  • Adaptive pursuit learning method to mitigate small-cell interference through directionality
    Patent number: 10694526
    Abstract: A learning protocol for distributed antenna state selection in directional cognitive small-cell networks is described. Antenna state selection is formulated as a nonstationary multi-armed bandit problem and an effective solution is provided based on the adaptive pursuit method from reinforcement learning. A cognitive small cell testbed, called WARP-TDMAC, provides a useful software-defined radio package to explore the usefulness of compact, electronically reconfigurable antennas in dense small-cell configurations. A practical implementation of the adaptive pursuit method provides a robust distributed antenna state selection protocol for cognitive small-cell networks. Test results confirm that directionality provides significant advantages over omnidirectional transmission which suffers high throughput reduction and complete link outages at above-average jamming or cross-link interference power.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: June 23, 2020
    Assignees: Drexel University, Univeristy of Oulu
    Inventors: Danh H. Nguyen, Anton Paatelma, Harri Saarnisaari, Nagarajan Kandasamy, Kapil R. Dandekar
  • Adaptive Pursuit Learning Method To Mitigate Small-Cell Interference Through Directionality
    Publication number: 20180098330
    Abstract: A learning protocol for distributed antenna state selection in directional cognitive small-cell networks is described. Antenna state selection is formulated as a nonstationary multi-armed bandit problem and an effective solution is provided based on the adaptive pursuit method from reinforcement learning. A cognitive small cell testbed, called WARP-TDMAC, provides a useful software-defined radio package to explore the usefulness of compact, electronically reconfigurable antennas in dense small-cell configurations. A practical implementation of the adaptive pursuit method provides a robust distributed antenna state selection protocol for cognitive small-cell networks. Test results confirm that directionality provides significant advantages over omnidirectional transmission which suffers high throughput reduction and complete link outages at above-average jamming or cross-link interference power.
    Type: Application
    Filed: September 29, 2017
    Publication date: April 5, 2018
    Inventors: Danh H. Nguyen, Anton Paatelma, Harri Saarnisaari, Nagarajan Kandasamy, Kapil R. Dandekar