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Morteza Kheirkhah's patent portfolio

Since the year 2019, I have filed 36 patents related to wireless technologies, specifically 5G and 6G technologies. Out of these 36 patents, 17 have been filed with a PCT so far; the remaining will be filed in the near future. The technology behind these patents has been mostly presented to 3GPP in multiple working groups, including SA2 and RAN2. Finally, I am a lead author of 16 patents (almost half of my filed patents). The patents are listed as follows:
  1. Mohamed Kassem, Morteza Kheirkhah, Mahesh Marina, Apparatus and Methods for Wireless Data Communication Using Spectrum White Spaces. Filed on July 2020 by the University of Edinburgh, Scotland, UK.
  2. Morteza Kheirkhah, Ulises Olvera-Hernandez, Tezcan Cogalan, Mona Ghassemian, Architecture Enhancements to Unify Network Data Analytics Services for 3GPP Systems. Provisional Filed on 08.10.2021. File Ref: 2021P00274 US. [SA2]
  3. Guanzhou Wang, Ulises Olvera-Hernandez, Zhibi Wang, Morteza Kheirkhah, System and Methods for Real-time QoS Monitoring and Prediction. Filed date: 21.01.2022. Provisional file Ref: 2022P00014 US. [SA2]
  4. Ulises Olvera-Hernandez, Xiaoyan Shi, Alec Brusilovsky, Achref Methenni, Michael Starsinic, Morteza Kheirkhah, Zhibi Wang, System and Methods for performance monitoring and reporting to support AIML operation. Filing date: 27.01.2022. Filing ref: 63/303,758. [SA2]
  5. Morteza Kheirkhah, Ulises Olvera-Hernandez, Guanzhou Wang, Zhibi Wang, System and Methods for Native 3GPP Support of Artificial Intelligence and Machine Learning Operations. Filing date: 27.01.2022. Filing ref: 63/303772. [SA2]
  6. Morteza Kheirkhah, Ulises Olvera-Hernandez, Guanzhou Wang, Zhibi Wang, System and Methods to Support Federated Machine Learning Operations by Optimizing Network Resource Utilization. Filing date: 27.01.22. Filing ref: 63/303693. [SA2]
  7. Zhibi Wang, Morteza Kheirkhah, Alec Brusilovsky, Ulises Olvera-Hernandez, Methods and Apparatus for Enhanced Security in Federated Learning Machine Learning Operations in a Communication Network. Filing date: 02.02.2022. Filing ref: 63/305,941. [SA2]
  8. Zhibi Wang, Morteza Kheirkhah, Alec Brusilovsky, Ulises Olvera-Hernandez, Samir Ferdi, Enhancements to the 3GPP System to Support AI/ML operation driven-UE Selection Based on Trustworthiness. [SA2]
  9. Zhibi Wang, Alec Brusilovsky, Achref Methenni, Morteza Kheirkhah Enhancements to the 3GPP System to Support Federated Learning Applications-Intermediate Model Privacy Violation Detection. Submitted date: 23.03.2022. [SA3]
  10. Guanzhou Wang, Ulises Olvera-Hernandez, Alec Brusilovsky, Morteza Kheirkhah, Achref Methenni, System and Methods for Supporting Self-adaptive QoS Flow and Profile. Submitted on 23.03.2022. [SA2]
  11. Ulises Olvera-Hernandez, Morteza Kheirkhah, Guanzhou Wang, Achref Methenni, Enhancements to the 3GPP System to AI/ML operations based on AF guidance. Submitted on 23.03.2022. [SA2]
  12. Ulises Olvera-Hernandez, Morteza Kheirkhah, Achref Methenni, Guanzhou Wang, Route Selection in a Wireless Communication System. [SA2]
  13. Morteza Kheirkhah, Ulises Olvera-Hernandez, Guanzhou Wang, Zhibi Wang, System and Methods to support AI/ML Operations of a group of UEs for Federated Learning. Submitted on 23.03.2022. [SA2]
  14. Tezcan Cogalan, Morteza Kheirkhah, Alain Mourad, Ulises Olvera-Hernandez, Saad Ahmed, Methods for analytics-aided user plane optimization. Submitted date: 23.03.2022. [SA2]
  15. Morteza Kheirkhah, Ulises Olvera-Hernandez, Guanzhou Wang, Zhibi Wang, Alec Brusilovsky, Samir Ferdi, System and Methods to Support Federated Machine Learning Operations by Optimizing Network Resource Utilization and Enabling Network Exposure to UE. Submitted on 29.04.2022. [SA2]
  16. Achref Methenni, Ulises Olvera-Hernandez, Morteza Kheirkhah, Samir Ferdi, Alec Brusilovsky, Methods for Federated Learning as a Network Service (FLaaS) with user Consent, submitted on 30.04.2022. [SA2/SA3]
  17. Morteza Kheirkhah, Ulises Olvera-Hernandez, Zhibi Wang, Alec Brusilovsky, Samir Ferdi, System and Methods to support optimized information exposure to UE via the control plane or the user plane. 30.04.2022. [SA2]
  18. Carlos Bernardos, Alain Mourad, Morteza Kheirkhah, Tezcan Cogalan, Methods for integrating support for reliability and availability in mobile networks. Submitted on 25.07.2022. [SA1/SA2]
  19. Jung Je Son, Ulises Olvera-Hernandez, Morteza Kheirkhah, Zhibi Wang, Guanzhou Wang, Achref Methenni, UE-initiated application AIML FL member withdraw. Submitted on 03.08.2022. [SA2]
  20. Jung Je Son, Ulises Olvera-Hernandez, Morteza Kheirkhah, Zhibi Wang, Guanzhou Wang, Achref Methenni, Dynamic AI/ML splitting negotiation between WTRU and AF considering availability of PC5 based AI/ML and server-based AI/ML. Submitted on 03.08.2022. [SA2]
  21. Jung Je Son, Ulises Olvera-Hernandez, Morteza Kheirkhah, Zhibi Wang, Guanzhou Wang, Achref Methenni, Dynamic WTRU configuration for local AI/ML service. Submitted on 03.08.2022. [SA2]
  22. Jung Je Son, Ulises Olvera-Hernandez, Morteza Kheirkhah, Zhibi Wang, Guanzhou Wang, Achref Methenni, Enhancement of discovery and PC5 connection for PC5 based AI/ML. Submitted on 03.08.2022. [SA2]
  23. Zhibi Wang, Ulises Olvera-Hernandez, Alec Brusilovsky, Jung Je Son, Morteza Kheirkhah, Authorization of Application Function for Policy Management. Submitted on 04.08.2022. [SA3]
  24. Ulises Olvera-Hernandez, Michael Starsinic, Morteza Kheirkhah, Jung Je Son, Zhibi Wang, Enhancements to the 3GPP System to Map Traffic Categories to application AIML operation types. Submitted on 30.09.2022. [SA2]
  25. Oumer Teyeb, Morteza Kheirkhah, Winee Lutchoomun, Yugeswar Deenoo Narayanan, RRC State optimization for Federated Learning. Submitted on 26.10.2022. [RAN2]
  26. Morteza Kheirkhah, Oumer Teyeb, Winee Lutchoomun, Yugeswar Deenoo Narayanan, System and Methods to Modify the QoS Flow Rules at UE to Support Artificial Intelligence and Machine Learning Operations. Submitted on 27.10.2022. [RAN2]
  27. Morteza Kheirkhah, Oumer Teyeb, Winee Lutchoomun, Yugeswar Deenoo Narayanan, System and Methods to Dynamically Select a Radio Bearer to Meet the Requirements of AIML Operations. Submitted on 28.10.2022. [RAN2]
  28. Jung Je Son, Guanzhou Wang, Ulises Olvera-Hernandez, Morteza Kheirkhah, Achref Methenni, Zhibi Wang, PC5 Based AIML Splitting. Submitted on 29.10.2022. [SA1/SA2/RAN2]
  29. Morteza Kheirkhah, Ulises Olvera-Hernandez, Jung Je Son, Guanzhou Wang, Zhibi Wang, Achref Methenni, Samir Ferdi, Michelle Perras, System and Methods to Improve the Performance of Federated Learning via Sidelink Communications. Submitted on 30.10.2022. [SA2/RAN2/CT1]
  30. Morteza Kheirkhah (60%), Chadi Kirallah (30%), Jonas Sedin (10%), Method and Apparatus for selection of a radio bearer type in dual-connectivity deployment that supports AI/ML. [RAN2/3]
  31. Morteza Kheirkhah (50%), Mahmoud Watfa, (20%), Chadi Kirallah (10), David Gutierrez Estevez (10%), Dan Warren (10%), Method and Apparatus for Using Sidelink to Support AI.ML Operations. [SA2/RAN2/3]
  32. Morteza Kheirkhah (70%), Jonas Sedin (30%), Methods and Apparatus to Improve Packet Delivery in DC Deployments. [RAN2/3]
  33. Morteza Kheirkhah (60%), David Gutierrez Estevez (30%), Mahmoud Watfa (10%). A New Control Plane Protocol Stack Architecture to Support Service Based Interface for NG-RAN and UE. [RAN2]
  34. Morteza Kheirkhah (60%), Chadi Kirallah (25%), David Gutierrez Estevez (15%), Method and Apparatus for AIML Data Delivery and Collection Over User Plane in 3GPP Systems. [RAN2/RAN3/SA2]
  35. Morteza Kheirkhah (60%), Chadi Kirallah (40%), Methods and Apparatus to Dynamically Handle AIML Data in the 3GPP Systems. [RAN2/RAN3]
  36. Morteza Kheirkhah (100%), A New Architecture for the 6G UE to Handle AI/ML QoS Flows Dynamically. Submitted on 2023.07.01 by Samsung Electronics UK. [RAN2/SA2/CT1]