Quick Resume

Education

Double PhD Computer Science, Universities of Innsbruck (AT) and Trento (IT), 2016
M.Sc. Computer Science, University of Trento (IT), 2011
B.Sc. Computer Science, University of Trento (IT), 2009

Positions

PostDoc University of Trento, April 2016 - current
PhD Student University of Innsbruck, April 2012 - February 2016
Research Assistant University of Trento, April 2011 - March 2012

Awards

UniTN Graduation Ceremony Best PhD Student Award for the Dept. of Information Engineering and Computer Science, A.Y. 2014-2015
VNC 2013 Best Paper Award [1]
Mobicom 2013 Best Demo Award [2]
Mobicom 2012 ACM Students Research Competition, 3rd place [3]
  1. B. Bloessl, M. Segata, C. Sommer, and F. Dressler, “Towards an Open Source IEEE 802.11p Stack: A Full SDR-based Transceiver in GNURadio”, in 5th IEEE Vehicular Networking Conference (VNC 2013), Boston, MA, 2013, pp. 143–149. [BibTeX file, PDF] BibTeX & Abstract
    @inproceedings{bloessl2013towards,
      author = {Bloessl, Bastian and Segata, Michele and Sommer, Christoph and Dressler, Falko},
      title = {{Towards an Open Source IEEE 802.11p Stack: A Full SDR-based Transceiver in GNURadio}},
      booktitle = {5th IEEE Vehicular Networking Conference (VNC 2013)},
      pages = {143-149},
      year = {2013},
      month = {December},
      address = {Boston, MA},
      publisher = {IEEE},
      doi = {10.1109/VNC.2013.6737601},
      i7award = {Best Paper Award}
    }
    
    We present the first steps towards an Open Source simulation and experimentation framework for IEEE 802.11p networks. The framework is implemented based on GNURadio, a real-time signal processing framework for use in Software Defined Radio (SDR) systems. The core of the framework is a modular Orthogonal Frequency Division Multiplexing (OFDM) transceiver, which has been thoroughly evaluated: First, we show that its computational demands are so low that it can be run on low-end desktop PCs or laptops and thus, the transceiver is also feasible to use in field operational tests. Secondly, we present simulation results to highlight the transceiver’s capability to study and debug PHY and MAC variants in a reproducible manner. We show that the simulations match very well to a widely accepted error model for IEEE 802.11p networks. Finally, we discuss results from an extensive set of measurements that compare our SDR-based transceiver with commercial grade IEEE 802.11p cards. We made the framework available as Open Source to make the system accessible for other researchers and to allow reproduction of the results. This might also pave the way for future proofing cars by means of fully reconfigurable radios.
  2. B. Bloessl, M. Segata, C. Sommer, and F. Dressler, “Decoding IEEE 802.11a/g/p OFDM in Software using GNU Radio”, in 19th ACM International Conference on Mobile Computing and Networking (MobiCom 2013), Demo Session, Miami, FL, 2013, pp. 159–161. [BibTeX file, PDF] BibTeX & Abstract
    @inproceedings{bloessl2013decoding,
      author = {Bloessl, Bastian and Segata, Michele and Sommer, Christoph and Dressler, Falko},
      title = {{Decoding IEEE 802.11a/g/p OFDM in Software using GNU Radio}},
      booktitle = {19th ACM International Conference on Mobile Computing and Networking (MobiCom 2013), Demo Session},
      pages = {159-161},
      year = {2013},
      month = {October},
      address = {Miami, FL},
      publisher = {ACM},
      doi = {10.1145/2500423.2505300},
      i7acmizer = {http://dl.acm.org/authorize?N70220}
    }
    
    We just released an Open Source receiver that is able to decode IEEE 802.11a/g/p OFDM frames in software. This is the first Software Defined Radio (SDR) based OFDM receiver supporting channel bandwidths up to 20 MHz that is not relying on additional FPGA code. Our receiver comprises all layers up to parsing the MAC header and extracting the payload of IEEE 802.11a/g/p networks. In our demo, visitors can interact live with the receiver while it is decoding over the air frames. The impact of moving the antennas and changing the settings are displayed live in time and frequency domain. Furthermore, the decoded frames are piped to Wireshark where the WiFi traffic can be further investigated. It is possible to access and visualize the data in every decoding step from the raw samples, frame detection, channel estimation, up to the decoded MAC packets. The receiver is completely Open Source and represents one step towards experimental research with SDRs.
  3. M. Segata, F. Dressler, R. Lo Cigno, and M. Gerla, “A Simulation Tool for Automated Platooning in Mixed Highway Scenarios”, in 18th ACM International Conference on Mobile Computing and Networking (MobiCom 2012), Poster Session, Istanbul, Turkey, 2012, pp. 389–391. [BibTeX file, PDF] BibTeX & Abstract
    @inproceedings{segata2012simulation-tool,
      author = {Segata, Michele and Dressler, Falko and Lo Cigno, Renato and Gerla, Mario},
      title = {{A Simulation Tool for Automated Platooning in Mixed Highway Scenarios}},
      booktitle = {18th ACM International Conference on Mobile Computing and Networking (MobiCom 2012), Poster Session},
      pages = {389-391},
      year = {2012},
      month = {August},
      address = {Istanbul, Turkey},
      publisher = {ACM},
      doi = {10.1145/2348543.2348591},
      i7acmizer = {http://dl.acm.org/authorize?6729857}
    }
    
    Automated platooning is one of the most challenging fields in the domain of Intelligent Transportation Systems (ITS). Conceptually, platooning means creating clusters of vehicles which closely follow each other autonomously without action of the driver, neither for accelerating, nor for braking. This leads to several important benefits from substantially improved road throughput to increased safety. The control of such platoons depends on two components: First, radar is typically to be used to control the distance between the vehicles, and secondly, Inter-Vehicle Communication (IVC) helps managing the entire platoon allowing cars to join or to leave the group whenever necessary. Platooning systems have been mostly investigated in controlled environments such as dedicated highways with centralized management. However, platooning-enabled cars will be deployed gradually and might have to travel on highways together with other non-automated vehicles. We developed a combined traffic and network simulator for studying strategies and protocols needed for managing platoons in such mixed scenarios. We show the models needed and present first results using a simple IVC-based platoon management as a proof of concept.

Invited Talks and Seminars

Title Shall We Move Forward? Next (Technological) Steps To Realize Platooning
Location Heinz Nixdorf Institute, Paderborn University
Date March 14-th, 2018
Title 5G Vehicle Data Sharing for Cooperative Driving
Location Centro Ricerce Fiat, Torino
Workshop FCA Workshop on 5G Technology for Automotive
Date July 5-th, 2017
Title Challenges and Potential Benefits of Vehicular Wireless Networks: The Platooning Use Case
Location Center for Doctoral Studies in Business, University of Mannheim
Date October 19-th, 2016

Conference Chairing and Services

SmartVehicles 2018 TPC Member
VTC 2018 Fall TPC Member
Med-Hoc-Net 2018 TPC Member
VTC 2018 Spring TPC Member
VNC 2017 TPC Member
Globecom MWN 2017 TPC Member
MT-ITS 2017 TPC Member
EUSPN 2017 TPC Member
WONS 2016 Web, Publicity, and Publication Chair
VNC 2015 Publication Chair
INW 2015 Web Chair

Peer Reviewing

I am peer-reviewing scientific articles for several international journals and conferences. A brief list of them includes IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology, IEEE Vehicular Technology Magazine, Elsevier Ad Hoc Networks, Elsevier Transportation Research, Elsevier Vehicular Communications, IEEE INFOCOM, IEEE Vehicular Networking Conference, IEEE GLOBECOM, IEEE ICC.

Publications

Please find a complete list of articles here.

Teaching Experience

You can find a complete list of courses here. The courses I’m teaching include:

  • Simulation and Performance Evaluation
  • Network Principles
  • Wireless Networks
  • Vehicular Networks