Patents by Inventor Ali A. Elghariani

Ali A. Elghariani 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: 20230188276
    Abstract: Aspects of the disclosure relate to an interference-aware beamforming environment in which an AP controller can determine one or more beams of one or more APs to serve various STAs. For example, an AP can request that STA(s) provide one or more uplink pilot signals during different time slots. The AP can receive the uplink pilot signal(s) and determine, for each STA, the uplink beam quality of each transmit beam-receive beam pair over which an uplink pilot signal was received from the respective STA. The AP can use reciprocity to determine, for each STA, the downlink beam quality for various transmit beam-receive beam pairs. The AP can use the determined downlink beam quality to identify the best beam with which to serve various STAs. An AP controller can determine which downlink beam(s) an AP should use to serve a STA based on the downlink beams originally selected by the APs.
    Type: Application
    Filed: October 25, 2022
    Publication date: June 15, 2023
    Inventors: Siddhartha Mallik, Tamer Adel Kadous, Ali A. Elghariani
  • Patent number: 11515973
    Abstract: Aspects of the disclosure relate to an interference-aware beamforming environment in which an AP controller can determine one or more beams of one or more APs to serve various STAs. For example, an AP can request that STA(s) provide one or more uplink pilot signals during different time slots. The AP can receive the uplink pilot signal(s) and determine, for each STA, the uplink beam quality of each transmit beam-receive beam pair over which an uplink pilot signal was received from the respective STA. The AP can use reciprocity to determine, for each STA, the downlink beam quality for various transmit beam-receive beam pairs. The AP can use the determined downlink beam quality to identify the best beam with which to serve various STAs. An AP controller can determine which downlink beam(s) an AP should use to serve a STA based on the downlink beams originally selected by the APs.
    Type: Grant
    Filed: May 20, 2021
    Date of Patent: November 29, 2022
    Assignee: XCOM Labs, Inc.
    Inventors: Siddhartha Mallik, Tamer Adel Kadous, Ali A. Elghariani
  • Publication number: 20210376973
    Abstract: Aspects of the disclosure relate to an interference-aware beamforming environment in which an AP controller can determine one or more beams of one or more APs to serve various STAs. For example, an AP can request that STA(s) provide one or more uplink pilot signals during different time slots. The AP can receive the uplink pilot signal(s) and determine, for each STA, the uplink beam quality of each transmit beam-receive beam pair over which an uplink pilot signal was received from the respective STA. The AP can use reciprocity to determine, for each STA, the downlink beam quality for various transmit beam-receive beam pairs. The AP can use the determined downlink beam quality to identify the best beam with which to serve various STAs. An AP controller can determine which downlink beam(s) an AP should use to serve a STA based on the downlink beams originally selected by the APs.
    Type: Application
    Filed: May 20, 2021
    Publication date: December 2, 2021
    Inventors: Siddhartha Mallik, Tamer Adel Kadous, Ali A. Elghariani
  • Publication number: 20210329486
    Abstract: Aspects of the disclosure relate to a multipoint environment that enables a station (STA) to communicate with multiple access points (APs) and an AP to communicate with multiple STAs in a single wireless protocol stack. For example, a STA can authenticate simultaneously with multiple APs and decode any data packet that includes in a header a destination address that matches an address of the STA, irrespective of the source address included in the header of the data packet. Similarly, an AP can decode any data packet that includes in a header a destination address that matches an address of the AP or that matches a wildcard address associated with the AP, irrespective of the source address included in the header of the data packet.
    Type: Application
    Filed: April 14, 2021
    Publication date: October 21, 2021
    Inventors: Tamer Adel Kadous, Siddhartha Mallik, Ali A. Elghariani, Peter John Black, Jaspreet Singh
  • Publication number: 20210328920
    Abstract: Aspects of the disclosure relate to a multipoint environment that enables a station (STA) to communicate with multiple access points (APs) and an AP to communicate with multiple STAs in a single wireless protocol stack. For example, a STA can authenticate simultaneously with multiple APs and decode any data packet that includes in a header a destination address that matches an address of the STA, irrespective of the source address included in the header of the data packet. Similarly, an AP can decode any data packet that includes in a header a source address that matches an address of an authenticated STA, irrespective of the destination address included in the header of the data packet.
    Type: Application
    Filed: April 14, 2021
    Publication date: October 21, 2021
    Inventors: Tamer Adel Kadous, Siddhartha Mallik, Ali A. Elghariani, Peter John Black, Jaspreet Singh
  • Publication number: 20210243226
    Abstract: A lifelong learning intrusion detection system and methods are provided. The system may capture network data directed to a host node. The host node may include a honeypot. The honeypot may emulate operation of a physical or virtual device to attract malicious activity. The system may classify, based on a supervised machine learning model, the network data as being not malicious or not malicious. The system may classify, based on an unsupervised machine learning model, the network data as being anomalous or not anomalous. The system may alter operation of the honeypot to induce malicious activity. The system may determine, after operation of the honeypot is altered, the honeypot is accessed. The system may retrain the supervised machine learning model and/or unsupervised machine learning model based the network data.
    Type: Application
    Filed: November 25, 2020
    Publication date: August 5, 2021
    Applicant: Purdue Research Foundation
    Inventors: Aly El Gamal, Ali A. Elghariani, Arif Ghafoor