HomeJan Plachy

Jan Plachy

Postdoc

Research areas: Edge Computing, Mobility management, Radio resource management, D2D communications, Testbed

PHONE NUMBER
+420 2 2435 4020
EMAIL ADDRESS
jan.plachy@fel.cvut.cz

Biography

Jan Plachy received the BSc, MSc and Ph.D. degree in telecommunication engineering from the Czech Technical University in Prague, Czech Republic in 2012, 2014 and 2021, respectively. Currently, he works as a researcher at the Department of Telecommunication Engineering at the same university. He was on internships at CEA-Leti, France (2014), EURECOM, France (2016 and 2019) and Bar-Ilan University, Israel (2017). Participated in FP7 TROPIC project founded by the European Commission, with a goal of designing a path selection algorithm for distributed computing and has participated in many national research projects focused on mobile networks. He is currently involved in multiple national and international research projects focused on Multi-Access Edge Computing (MEC) and Unmanned Aerial Vehicles (UAV) for the provision of users’ connectivity. His research interests cover optimization of mobility management and radio resource management of both communication and computing resources in future mobile networks. He published 12 conference and journal papers in IEEE and Elsevier. He continuously develops 6Gm testbed and prepares demos to demonstrate the research done within the 6Gm lab.

Publications, patents, and demos

Jan is author of more than 10 papers at international conferences and in peer-reviewed journals and multiple demos.
Selected publications

Demos

  • Channel quality prediction via Deep Neural Network
    • This demo shows prediction of channel quality between any two devices from already known channels to base stations
    • The demo consists of three parts:
      • Open Air Interface RAN modifications to enable obtaining frequent channel quality measurements from both serving and neighboring cells and their collection.
      • Android application for collecting measurements and visualization of the predicted channel quality.
      • Python server application that collects measurements from Android application, trains neural network and predicts the communication channel quality
    • Implementation of all parts done by Jan Plachy.
    • Role: Design of demo, implementation of all parts.
    • Related publications
      • M. Najla, Z. Becvar, P. Mach, D. Gesbert, “Predicting Device-to-Device Channels from Cellular Channel Measurements: A Learning Approach”, IEEE Transactions on Wireless Communications, vol. 19, no. 11, pp. 7124 – 7138, 2020.
        • Details of the concept of the channel prediction
      • 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.
        • Patent application covering the idea of channel prediction
  • Mobile Edge Computing

    • Platform for evaluation of delay and energy consumption of computation offloading from mobile devices to MEC server
    • The demo consists of
      • Open Air Interface core network modifications to manage the data traffic to/from MEC server via OpenVswitch.
      • Percipio – an Android application for Augmented reality that has been originally developed by J. Dolezal. This application enables us to see the benefits of offloading computation processing from a mobile device to a MEC server.
    • This is a collaborative work with prof. Adlen Ksentini from EURECOM.
    • Implementation of the communication framework done by Jan Plachy and the Android application by Jakub Dolezal.
    • Role: Modifications of OAI RAN and minor modifications of Percipio application.
    • Related publications:
      • J. Dolezal, Z. Becvar, T. Zeman, “Performance Evaluation of Computation Offloading from Mobile Device to the Edge of Mobile Network”, IEEE Conference on Standards for Communications & Networking (IEEE CSCN 2016), pp. 1-7, 2016.
      • Third place in Mobicom 2015 App Contest with Android application Percipio for demonstration of MEC offloading performance
      • J. Dolezal, Z. Becvar, “Methodology and tool for energy consumption modeling of mobile devices”, IEEE Wireless Communications and Networking Conference (IEEE WCNC 2014) workshops, pp. 34-39, 2014.
      • Demo at Joint ETSI – OSA Workshop: Open Implementations and Standardization in 2018.
  • Flying base station
    • Based on work of lab members in area of exploitation of flying base stations for providing wireless connectivity to mobile users, we have developed an actual flying base station.
      • The flying base station is equipped with an Intel NUC PC that runs the OAI RAN, LTE USB dongle for connection to “base camp station” and USRP B205 mini with antennas. OAI Core network is run in the base camp station.
    • A demonstration of initial flight is shown here.
    • Implementation lead by Miguel Fontanilla Perez de Tudela (alumni) and Jan Plachy.
    • Role: Design of communication aspects, supervision of students.
  • Game theoretic scheduler
    • To show the real world functionality and performance of resource allocation  I. Bistritz and A. Leshem. “Game theoretic dynamic channel allocation for frequency-selective interference channels.“, IEEE Transactions on Information Theory 65, no. 1 (2018): 330-353, as centralized version has been implemented in the OAI by modifications of the resource allocation scheduler.
    • This has been demonstrated on a real phone connected to the OAI with modified scheduler.
    • Implementation done by Jan Plachy.
    • Role: design of centralized version, implementation into OAI.
  • Self-optimizing mobile networks
  • Implementation of hierarchical scheduler in ns-3
    • In the scope of the project with Foxconn, hierarchical scheduler has been implemented into ns-3.
    • Implementation done by Jan Plachy.
    • Role: Design, implementation.

Research projects
  • Communication in Self-optimizing Mobile Networks with Drones (01/2018 – 12/2020)
    • funded by Czech Science Foundation
    • main roles: researcher, positioning of the flying base station and users’ association based on genetic algorithms
  • Cooperation with the International Research Centre in Area of Communication Systems (01/2018 – 12/2019)
  • Mobile Edge Computing and Functional Splitting for Scheduling of Radio Resources (10/2018-09/2019)
    • project funded by Foxconn
    • main roles: Functional splitting implementation
  • Game theoretic aspects of wireless spectrum access (07/2016 – 06/2018)
  • FP7 TROPIC (09/2012-04/2015)
    • funded by European Commission
    • main role: Design of path selection for distributed computing
Awards

Personal awards

Conferences

Master and bachelor students

Journal reviews
  • IEEE Transactions on Cloud Computing
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Network and Service Management
  • IEEE Transactions on Signal and Information Processing
  • IEEE Wireless Communications Letters
  • IEEE Internet of Things
  • IEEE Access
  • Wireless Communications and Mobile Computing
  • International Journal of Communication Systems
  • KSII Transactions on Internet and Information Systems
  • Mobile Networks and Applications
Teaching and academic activities
Supervisor of master and bachelor students
  • Four bachelor students
  • One master student
Currently taught courses
  • Mobile Networks  (B2M32MKSA)
  • Wireless Technologies  (B2M32BTSA)
Past courses
  • Mobile Communication Networks  (A2M32MKS)
  • Wireless Technologies and Sensor Networks  (B2M32BTS)