Patents by Inventor Vahid AREF

Vahid AREF 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).

  • Predicting decodability of received data
    Patent number: 11888672
    Abstract: Different solutions for an apparatus comprising a predictor predicting decodability of received symbols are disclosed. Decoding is performed based on the prediction.
    Type: Grant
    Filed: December 3, 2021
    Date of Patent: January 30, 2024
    Assignee: NOKIA TECHNOLOGIES OY
    Inventors: Jakob Hoydis, Vahid Aref, Ahmed Elkelesh, Sebastian Cammerer
  • MITIGATION OF EQUALIZATION-ENHANCED PHASE NOISE IN A COHERENT OPTICAL RECEIVER
    Publication number: 20220393771
    Abstract: A coherent optical data receiver having a digital signal processor (DSP) capable of mitigating equalization-enhanced phase noise (EEPN). In an example embodiment, the DSP mitigates EEPN by applying individual phase adjustments to different spectral slices of a digital stream carrying CD-compensated digital samples of the received optical data signal. In different embodiments, the individual phase adjustments can be dynamically selected based on symbol decisions taken prior to EEPN mitigation, based on transmitted pilot symbols, and/or using moving averages computed for different spectral slices. Some embodiments are suitable for handling polarization-division-multiplexed optical data signals. Some embodiments are advantageously capable of producing an effective SNR gain of approximately 1 dB.
    Type: Application
    Filed: May 31, 2022
    Publication date: December 8, 2022
    Inventors: Vahid AREF, Fred BUCHALI, Stenio MAGALHAES RANZINI
  • PREDICTING DECODABILITY OF RECEIVED DATA
    Publication number: 20220191079
    Abstract: Different solutions for an apparatus comprising a predictor predicting decodability of received symbols are disclosed. Decoding is performed based on the prediction.
    Type: Application
    Filed: December 3, 2021
    Publication date: June 16, 2022
    Inventors: Jakob HOYDIS, Vahid AREF, Ahmed ELKELESH, Sebastian CAMMERER