HomeMehyar Najla

Mehyar Najla

Postdoc

Research areas: D2D communications, Machine learning, Radio resource management, Flying base stations

PHONE NUMBER
+420 2 2435 4022
EMAIL ADDRESS
najlameh@fel.cvut.cz

Biography

Mehyar Najla has received his Ph.D. degree from the department of Telecommunication Engineering at Czech Technical University in Prague, Czech Republic in 2021. His Ph.D. dissertation thesis focused on finding advanced radio resource allocation methods for Device-to-Device (D2D) communication via machine learning and game theory has received the Dean’s Award for Prestigious Dissertation Thesis 2021. Since 2016, he has been with the team of 5Gmobile research lab at Czech Technical University in Prague working on research topics related to future mobile networks. He was/is involved in several national research projects focused on the combination of radio frequency and visible light communication for D2D communication, machine learning for wireless networks, and mobile networks with flying base/relay stations. In 2019, he was on an internship at EURECOM, France, with a research topic related to the prediction of D2D communication channels via neural networks. He has co-authored more than 10 conference/journal papers. His research interests include machine learning and discriminative prediction in mobile networks covering radio resource management, device-to-device communication, hybrid radio frequency and visible light communication systems and mobile networks with flying base/relay stations in addition to game theoretic techniques for resource allocation in wireless and mobile networks.

Publications, patents, and demos

Mehyar is author of more than 10 papers at international conferences and in peer-reviewed journals and one patent.
Selected publications

  • , and , “Reuse of Multiple Channels by Multiple D2D Pairs in Dedicated Mode: Game Theoretic Approach”, IEEE Transactions on Wireless Communications, volume 20, no. 7, . [BibTex] [pdf] [doi]
  • , , and ,“Positioning and Association Rules for Transparent Flying Relay Stations”, IEEE Wireless Communications Letters, volume 10, no. 6, . [BibTex] [pdf]
  • , , and ,“Predicting Device-to-Device Channels from Cellular Channel Measurements: A Learning Approach”, IEEE Transactions on Wireless Communications, volume 19, no. 11, . [BibTex] [pdf]
  • , and ,“Deep Learning for Selection between RF and VLC Bands in Device-to-Device Communication”, IEEE Wireless Communications Letters, volume 9, no. 10, . [BibTex] [pdf]
  • , , and ,“Integrating UAVs as Transparent Relays into Mobile Networks: A Deep Learning Approach”, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2020), . [BibTex] [pdf]
  • , and ,“Sequential Bargaining Game for Reuse of Radio Resources in D2D Communication in Dedicated Modes”, IEEE Vehicular Technology Conference (IEEE VTC-Spring 2020), . [BibTex] [pdf]
  • , , and ,“Machine Learning for Power Control in D2D Communication based on Cellular Channel Gains”, IEEE Global Communications Conference (IEEE Globecom 2019) workshop on Machine Learning for Wireless Communications, . [BibTex] [pdf]

    Patents

    • M. Najla, Z. Becvar, P. Mach, D. Gesbert, SYSTEM AND METHOD FOR DEVICE-TO-DEVICE COMMUNICATION, U.S. Non-Provisional Application No. 16/919,990, 2020.
    Research projects
    • Cooperation with the International Research Centre in Area of Digital Communication Systems (03/2020 – 12/2024)
      • funded by The Ministry of Education, Youth and Sports supports membership of CTU in EURECOM and international collaboration in the area of communication systems
      • main roles: researcher, Machine learning for resource allocation and channel prediction
    • Communication in Self-optimizing Mobile Networks with Drones (01/2018 – 06/2021)
      • funded by Czech Science Foundation
      • main roles: researcher, Machine learning for transparent drones’ positioning and association of users
    • Cooperation with the International Research Centre in Area of Digital Communication Systems (01/2018 – 12/2019)
      • funded by The Ministry of Education, Youth and Sports supports membership of CTU in EURECOM and international collaboration in the area of communication systems
      • main roles: researcher, resource allocation based on machine learning
    • Combined Radio Frequency and Visible Light Bands for Device-to-Device communication (01/2017 – 12/2019)
      • funded by Czech Science Foundation
      • main roles: Evaluation of performance limits, mode selection