Hands-on Tutorial on Fed4FIRE Testbeds and Openwifi
Tuesday, 8 June 2021, 14:00-17:30, Zoom Room
- Brecht Vermeulen (imec/Ghent University, Belgium)
- Xianjun Jiao (imec/Ghent University, Belgium)
- Wei Liu (imec/Ghent University, Belgium)
Motivation and Context
The first part of the tutorial will focus on using Fed4FIRE. Fed4FIRE (www.fed4fire.eu) is the largest federation of testbeds in Europe and has also a federation with US GENI (instageni and exogeni testbeds) and US Cloudlab. With a single Fed4FIRE account and the jFed tool (https://jfed.ilabt.imec.be) you can access all those resources for experimentation. The testbeds come in different flavours, such as:
· Wired networking/SDN/NFV testbeds
· Wireless networking testbeds
· 5G testbeds
· IoT testbeds
· Cloud and bigdata testbeds
This tutorial will show you hands-on how to use these resources. More information can be found at https://doc.fed4fire.eu.
The second part of the tutorial will focus on a very specific topic making use of the testbeds: openwifi. In the H2020 Orca project (https://www.orca-project.eu/), imec has developed an open source reference stack for Wi-Fi (802.11a/g/n, 802.11ax is under development) running on software defined radios (FPGA based). This will be demonstrated live using SDRs on a remote testbed, showing the different steps needed to use this openwifi on a Fed4FIRE testbeds. More information on openwifi can be found at https://github.com/open-sdr/openwifi. In the openwifi roadmap imec is developing time-sensitive and MIMO features that could offer a low cost prototyping platform for supporting (i) time-sensitive networking and (ii) advanced 6G radio architectures like cell-free distributed massive MIMO.
Structure and Content
1. General introduction on Fed4FIRE testbeds
2. Hands-on introduction tutorial to Fed4FIRE using the Virtual Wall testbed
3. Openwifi introduction
4. Openwifi demonstration on a remote testbed (w-iLab.t) and instructions how to reproduce this (using the account and tools learned in step 2.)
The tutorial can be given remotely if needed.
Brecht Vermeulen, received the M.Sc. and PhD degree in Electro-technical engineering in 1999 and 2004 and has since then the technical responsibility over the imec IDLab iLab.t testbed infrastructure (https://doc.ilabt.imec.be), which started with 30 servers in 2004 and currently consists out of five different testbeds with more than 1000 nodes. Brecht is technical coordinator of the H2020 Fed4Fire+ project (https://www.fed4fire.eu), a European testbed federation effort for future internet research and experimentation, with links to testbeds in the US, Brazil, Japan and South Korea. His personal research is also in the areas of human-robot interaction with social robots, natural language processing, machine learning and network/server performance
Xianjun Jiao, received his bachelor degree in Electrical Engineering from Nankai university in 2001 and Ph.D. degree on communications and information system from Peking University in 2006. After his studies, he worked in industrial research departments and product teams in the domain of wireless technology, such as Radio System Lab of Nokia Research Center, devices department of Microsoft and Wireless Software Engineering department of Apple. In 2016, he joined IDLab, a core research group of imec with research activities embedded in Ghent University and University of Antwerp. He is working as senior researcher at imec on flexible real-time Software Defined Radio (SDR) platform. His main interests are SDR, signal processing and parallel/heterogeneous computation in wireless communications. On his research track, 30+ international patents/papers have been granted/published
Wei Liu, received her bachelor degree in Electronic Engineering from KU Leuven, Campus GroepT in 2010, and PhD degree on computer sciences in 2016 from Ghent University. During her doctoral education, she participated in multiple research projects and gained experience in several Software-Defined Radio platforms and wireless testbed operations. Her main research fields are spectrum monitoring solution for dynamic spectrum sharing and real-time clock synchronization over wireless network.