Institute of Communications Engineering

Dr.-Ing. George Yammine

Research

Research Interests

  • OFDM Transmission Systems
  • MIMO and Multiuser Communications
  • Noncoherent Detection Techniques
  • Channel Coding and Coded Modulation
  • Iterative Methods

Conferences

  • G. Yammine and R. Fischer
    Decision-Feedback Differential Detection with Optimum Detection Order Metric For Noncoherent Massive MIMO Systems
    Proceedings of 28th European Signal Processing Conference, Amsterdam, Netherlands, August 2020
  • G. Yammine and R. Fischer
    Feedback-Aware Noncoherent Receivers for Massive MIMO Systems
    Proceedings of 24th International ITG Workshop on Smart Antennas (WSA), Hamburg, Germany, February 2020
     
  • S. Bucher, G. Yammine, R. Fischer and C. Waldschmidt
    On the Impact of Hardware Impairments in Noncoherent Massive MIMO Systems
    Proceedings of 24th International ITG Workshop on Smart Antennas (WSA), Hamburg, Germany, February 2020
     
  • G. Yammine and R. Fischer
    Optimization of Subspace Projection in Noncoherent Massive MIMO Systems
    Proceedings of 12th International ITG Conference on Systems, Communications and Coding (SCC2019), Rostock, Germany, February 2019
     
  • G. Yammine, S. Bucher and R. Fischer
    Noncoherent Detection for an EM-Lens-Enabled Massive MIMO System
    Proceedings of 12th International ITG Conference on Systems, Communications and Coding (SCC2019), Rostock, Germany, February 2019
     
  • S. Bucher, A. Ragab, G. Yammine, R. Fischer and C. Waldschmidt
    Antenna Design for Noncoherent Massive MIMO Systems
    Proceedings of 15th International Symposium on Wireless Communication Systems (ISWCS 2018), Lisbon, Portugal, August 2018
     
  • G. Yammine, S. Stern and R. Fischer
    Precoding for MIMO Uplink Transmission Over EM-Lens-Based Correlated Channels
    Proceedings of  International ITG/IEEE Workshop on Smart Antennas (WSA) , Bochum, Germany, March 2018
  • S. Bucher, G. Yammine, R. Fischer and C. Waldschmidt
    Influence of Channel Parameters on Noncoherent Massive MIMO Systems
    Proceedings of  International ITG/IEEE Workshop on Smart Antennas (WSA) , Bochum, Germany, March 2018
     
  • G. Yammine and R. Fischer
    Performance/Complexity Comparison of SVD vs. SURV for Subspace Estimation in Noncoherent Massive MIMO
    Proceedings of 14th International Symposium on Wireless Communication Systems (ISWCS 2017), Bologna, Italy, August 2017
     
  • G. Yammine and R. Fischer
    Soft-Decision Decoding in Noncoherent Massive MIMO Systems
    Proceedings of International ITG/IEEE Workshop on Smart Antennas (WSA), Munich, Germany, March 2016
     
  • G. Yammine, R. Fischer and C. Waldschmidt
    On the Influence of the Antenna Pattern in Noncoherent Massive MIMO Systems
    Proceedings of 12th International Symposium on Wireless Communication Systems (ISWCS 2015), Brussels, Belgium, August 2015
     
  • C. Stierstorfer, R. Fischer and G. Yammine
    Iterative Decision-Feedback in Non-coherent Multi-User Massive MIMO Systems
    Proceedings of International ITG/IEEE Workshop on Smart Antennas (WSA), Ilmenau, Germany, March 2015 PDF Bibtex
     
  • E. Peiker, G. Yammine, W.G. Teich and J. Lindner
    Increasing the Bandwidth Efficiency of OFDM-N/MFSK
    Proceedings of 18th International OFDM Workshop (InOWo’14), Essen, Germany, August 2014 PDF Bibtex
     
  • G. Yammine, E. Peiker, W.G. Teich and J. Lindner
    Improved Performance of Coded OFDM-MFSK Using Combined Alphabets and Extended Mapping
    Proceedings of 8th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), Bremen, Germany, August 2014 PDF Bibtex

Journals

  • S. Bucher, G. Yammine, R. Fischer and C. Waldschmidt
    A Noncoherent Massive MIMO System Employing Beamspace Techniques
    IEEE Transactions on Vehicular Technology, vol. 68, no. 11, November 2019

ITG-Fachgruppe "Angewandte Informationstheorie"

  • G. Yammine and R. Fischer
    Noncoherent Detection in Massive MIMO Systems
    26. Sitzung der ITG-Fachgruppe "Angewandte Informationstheorie", Massive MIMO: Theory and Applications, October 2015

Master Thesis

  • A Comparision of Noncoherent Receivers Based on Different Modulation Schemes, Institute of Communications Engineering, Ulm University, May 2014

Awards

  • ARGUS Science Award 2014, Airbus Defence and Space, October 2014

Teaching Assistance

Digital Communications

Signal Theory

Channel Coding

Communications Engineering Seminar

Visuelle Kryptographie (Demo for Visiting Students)

  • Summer Summester 2019
    • Schüler-Ingenieur-Akademie Ulm
  • Winter Semester 2018/19
    • Studieninfotag Uni Ulm
  • Winter Semester 2017/18
    • Schüler-Ingenieur-Akademie Schwäbisch Gmünd
    • Studieninfotag Uni Ulm
    • Schüler-Ingenieur-Akademie Ulm
    • Leopoldina: Nationale Akademie der Wissenschaften
  • Winter Semester 2016/17
    • Schüler-Ingenieur-Akademie Schwäbisch Gmünd
    • Studieninfotag Uni Ulm
    • Schüler-Ingenieur-Akademie Ulm
  • Winter Semester 2015/16
    • Schüler-Ingenieur-Akademie Schwäbisch Gmünd
    • Studieninfotag Uni Ulm
    • Schüler-Ingenieur-Akademie Ulm
    • Aicher-Scholl-Kolleg Ulm

Open Topics

Bachelor/Master Theses

Open these topics can be found here.

Completed

Bachelor Thesis

  • Implementierung eines Sphere-Decoders für differentielle Detektion
  • Channel Estimation and Equalization in Coherent Massive MIMO
  • A Design Toolkit for Prototyping Analog-to-Digital Converters for Use in Simulink
  • Efficient Implementation of the Truncated SVD

Master Thesis

  • Channel Estimation in 1-Bit Massive MIMO Systems
  • Variants of Message-Passing Decoding for Low-Density Parity-Check Codes
  • Message Passing Variants for Decoding of LDPC Codes in Noncoherent Massive MIMO
  • Power-Space Profile Estimation in Noncoherent Massive MIMO
  • High-Order Voltage-Controlled Oscillator-Based Analog-to-Digital Converters

Armadillo

Armadillo C++ linear algebra library is an open source library that combines speed and ease of use, by employing a syntax that is very similar to Matlab.

More information can be found on the project website.

Alumni