Picture of Georg Böcherer

Dr.-Ing. Georg Böcherer

Technical University of Munich

Chair of Communications Engineering (Prof. Kramer)

Postal address

Postal:
Theresienstr. 90
80333 München

Biography

Georg Böcherer obtained his MSc degree in Electrical Engineering and Information Technology from the ETH Zürich. He spent one semester at the EPF Lausanne and wrote his master thesis at the Federal University of Pernambuco in Recife, Brazil. From 2007 to 2012 he worked towards his PhD degree at the Institute of Theoretical Information Technology at RWTH Aachen University. Since April 2012, he is with the Institute for Communications Engineering at the Technical University of Munich. His PhD thesis on probabilistic shaping received the E-Plus Dissertation Award. His work on coding for the ICT Cubes received the best paper award at ISWCS 2011. His Probabilistic Amplitude Shaping (PAS) scheme for capacity achieving and rate adaptive communication won a Bell Labs Prize in 2015. He was a co-organizer of the Munich Workshop on Coding and Modulation (MCM 2015).

Teaching

Lecturer

Teaching Assistant

Theses

Available Theses

Bachelor's Theses

LDPC Decoder Implementation on FPGA

LDPC Decoder Implementation on FPGA

Description

Feasible decoding complexity is a major criteria for any decoding algorithm. LDPC Codes have linear decoding complexity, which makes them interesting for various applications. The aim of this bachelor thesis is to implement one specific LDPC Code on hardware starting from a software implementation.

Week 1: get familiar with LDPC Codes
Week 2: implement LDPC decoder in software
Week 3-8: implement LDPC decoder on FPGA
Week 8-9: write your thesis

Prerequisites

some experience with FPGAs

Supervisor:

Master's Theses

Fundamental Outerbounds of Wireless Communications with Imperfect Channel State Information at the Transmitter

Fundamental Outerbounds of Wireless Communications with Imperfect Channel State Information at the Transmitter

Description

http://www.lnt.ei.tum.de/fileadmin/staff/boecherer/pdfs/thesis_TUM_IT.pdf

Supervisor:

Georg Böcherer - Prof. David Gesbert, Paul de Kerret ()

Application of Machine Learning in Wireless Communications

Application of Machine Learning in Wireless Communications

Description

See here http://www.lnt.ei.tum.de/fileadmin/staff/boecherer/pdfs/thesis_TUM_ML.pdf

Supervisor:

Georg Böcherer - Prof. David Gesbert, Paul de Kerret ()

Theses in Progress

Research Interests

Coded Modulation with Probabilistic Shaping

In Shannon theory, the key step in calculating capacity of a communication channel is to determine the capacity-achieving input distribution. In practical systems however, almost exclusively uniform input distributions are employed. This results in the so called shaping gap, i.e., a reduction of the maximum theoretically achievable rate for reliable communication. The goal is to develop practical tools that provably allow to overcome the shaping gap. To this end, the generation of capacity-achieving distributions, forward error correction and modulation are jointly considered.

Simulation of Random Processes

The generation of random numbers with a distribution that matches (resembles) a given target distribution is a core problem relevant to many communication scenarios such as data compression, constrained coding, coded modulation, and information theoretic security. The appropriate measure of resemblance from an information theoretic point of view is the informational divergence between the generated distribution and the target distribution. I am interested in theoretic limits, algorithms, and applications.

Projects

Publications

2017

  • Böcherer, G.; Steiner, F.: New Modulation and Coding Paradigms for 5G and Beyond. ISWCS 2017, 2017 more…
  • Steiner, F; Liva, G; Böcherer, G.;: Ultra-Sparse Non-Binary LDPC Codes for Probabilistic Amplitude Shaping. Globecom 2017, Dec 2017 more…
  • Böcherer, G.; Steiner, F.; Schulte, P.: Fast Probabilistic Shaping Implementationfor Long-Haul Fiber-Optic Communication Systems. ECOC 2017, Sep 2017 more…
  • Prinz, T.; Yuan, P.; Böcherer, G.; Steiner, F.; İşcan, O.; Böhnke, R.; Xu, W.: Polar Coded Probabilistic Amplitude Shaping for Short Packets. IEEE International Workshop on Signal Processing Advances in Wireless Communications, Jul 2017 more…
  • Schulte, P.; Steiner, F.; Böcherer, G.: Four Dimensional Probabilistic Shaping for Fiber-Optic Communication. Signal Processing in Photonic Communications 2017, Jul 2017, SpM2F.5 more…
  • Thangaraj, A.; Kramer, G.; Böcherer, G.: Capacity bounds for discrete-time, amplitude-constrained, additive white Gaussian noise channels. IEEE Trans. Inf. Theory 63 (7), Jul 2017, 4172-4182 more…
  • Idler, W.; Buchali, F.; Schmalen, L.; Lach, E.; Braun, R.-P.; Böcherer, G.; Schulte, P.; Steiner, F.: Field Trial of a 1 Tb/s Super-Channel Network Using Probabilistically Shaped Constellations. J. Lightwave Technol. 35 (8), Apr 2017, 1399-1406 more… Full text ( DOI )
  • Böcherer, G.: Probabilistic Shaping: An Information-Theoretic Foundation. 18th Joint Workshop on Communications and Coding (JWCC), Mar 2017 more…
  • Böcherer, G.; Prinz, T.; Yuan, P.; Steiner, F.: Efficient Polar Code Construction for Higher-Order Modulation. IEEE Wireless Commun. Netw. Conf. (WCNC), Mar 2017 more…
  • Fehenberger, T.; Alvarado, A.; Böcherer, G.; Hanik, N.: On the Impact of Probabilistic Shaping on SNR and Information Rates in Multi-Span WDM Systems. Optical Fiber Communication Conference, OSA, Mar 2017 more… Full text ( DOI )
  • Böcherer, G.: Probabilistic Shaping in Fiber-Optic Communication Systems. ITG Workshop 5.3.1, Feb 2017 more…
  • Steiner, F., Böcherer, G.: Comparison of Geometric and Probabilistic Shaping with Application to ATSC 3.0. 11th International ITG Conference on Systems, Communications and Coding 2017 (SCC'2017), Feb 2017 more…

2016

  • Böcherer, G.: Probabilistic Shaping: A Technique to Boost Fiber-Optic Transmission. TUM Institute for Advanced Study: Wednesday Coffee Talk, Dec 2016 more…
  • Fehenberger, T.; Alvarado, A.; Böcherer, G.; Hanik, N.: On Probabilistic Shaping of Quadrature Amplitude Modulation for the Nonlinear Fiber Channel. Journal of Lightwave Technology 34 (21), Nov 2016, 5064-5074 more… Full text ( DOI )
  • Buchali, F.; Idler, W.; Schmalen, L.; Böcherer, G.; Schulte, P.; Steiner, F.: Probabilistically Shaped QAM for Independent Reach, Spectral Efficiency and Bit-rate Adaptation. European Conference on Optical Communication (ECOC), Sep 2016 more…
  • Buchali, F.; Idler, W.; Schuh, K.; Schmalen, L.; Böcherer, G.; Schulte, P.; Steiner, F.; Eriksson, T. A.: Study of electrical subband multiplexing at 54 GHz modulation bandwidth for 16QAM and probabilistically shaped 64QAM. European Conference on Optical Communication (ECOC), Sep 2016 more…
  • Böcherer, G.: Achievable Rate Estimates from Fiber-Optic Transmission Experiment Measurements. Sixth Van Der Meulen Seminar, Sep 2016 more…
  • Idler, W.; Buchali, F.; Schmalen, L.; Lach, E.; Braun, R.-P.; Böcherer, G.; Schulte, P.; Steiner, F.: Field Demonstration of 1 Tbit/s Super-Channel Network Using Probabilistically Shaped Constellations. European Conference on Optical Communication (ECOC), Sep 2016 more…
  • Böcherer, G.; Steiner, F.; Schulte, P.: Opportunities of Probabilistic Shaping for Fiber-Optic Communications. Latin America Optics and Photonics Conference (LAOP), Aug 2016 more… Full text ( DOI )
  • Böcherer, G.: On Surrogate Channels for Code Design. Second LNT & DLR Summer Workshop on Coding, Jul 2016 more…
  • Geiger, B.C.; Böcherer, G.: Greedy Algorithms for Optimal Distribution Approximation. Entropy 18, Jul 2016, 262 more… Full text ( DOI )
  • Böcherer, G.: Experimental Information Theory: Achievable Rates from Measurements. Bertinoro Workshop on Communications and Coding, May 2016 more…
  • Buchali, F.; Steiner, F.; Böcherer, G.; Schmalen, L.; Schulte, P.; Idler, W.: Rate Adaptation and Reach Increase by Probabilistically Shaped 64-QAM: An Experimental Demonstration. J. Lightwave Technol., Apr 2016 more… Full text ( DOI )
  • Böcherer, G.: Coding and Modulation for Communication at the Shannon Limit. LNT Communications Seminar, Apr 2016 more…
  • Böcherer, G.: Polar Codes: A Candidate for 5G. Center of Competence Communications (TUM-COM) Workshop on 5G Mobile Technology, Mar 2016 more…
  • Pikus, M.; Kramer, G.; Böcherer, G.: Discrete signaling for non-coherent, single-antenna, Rayleigh block-fading channels. IEEE Commun. Lett., Feb 2016 more…
  • Steiner, F.; Böcherer, G.; Liva, G.: Protograph-Based LDPC Code Design for Shaped Bit-Metric Decoding. IEEE J. Sel. Areas Commun., Feb 2016 more… Full text ( DOI )
  • Schulte, P.; Böcherer, G.: Constant Composition Distribution Matching. IEEE Trans. Inf. Theory, Jan 2016 more… Full text ( DOI )

2015

  • Böcherer, G.: Closing the Ultimate Gap to Shannon Capacity. LNT Doctoral Seminar, Nov 2015 more…
  • Böcherer, G.; Steiner, F.; Schulte, P.: Bandwidth Efficient and Rate-Matched Low-Density Parity-Check Coded Modulation. IEEE Trans. Commun., Oct 2015 more… Full text ( DOI ) Full text (mediaTUM)
  • Buchali, F.; Böcherer, G.; Idler, W.; Schmalen, L.; Schulte, P.; Steiner, F.: Experimental Demonstration of Capacity Increase and Rate-Adaptation by Probabilistically Shaped 64-QAM. European Conference on Optical Communication (ECOC), Sep 2015 more… Full text (mediaTUM)
  • Böcherer, G.: Bandwidth Efficient and Rate-Matched Low-Density Parity-Check Coded Modulation. NEWCOM# Emerging Topics Workshop, Cambridge, UK, Jun 2015 more…
  • Steiner, F.; Böcherer, G.; Liva, G.: Protograph-Based LDPC Code Design for Bit-Metric Decoding. IEEE Int. Symp. Inf. Theory, Jun 2015 more…
  • Thangaraj, A.; Kramer, G.; Böcherer, G.: Capacity upper bounds for discrete-time amplitude-constrained AWGN channels. IEEE Int. Symp. Inf. Theory, Jun 2015 more…
  • Böcherer, G.: Bandwidth Efficient and Rate-Matched Low-Density Parity-Check Coded Modulation. Seminar at NCTU Institute of Communications Engineering, Apr 2015 more…
  • Böcherer, G.; Schulte, P.; Steiner, F.: Bandwidth Efficient and Rate-Matched Low-Density Parity-Check Coded Modulation. Coding and Transmission Schemes for High Rate Communications Systems, Apr 2015, 24 more… Full text (mediaTUM)
  • Böcherer, G.: Bandwidth Efficient and Rate-Compatible Low-Density Parity-Check Coded Modulation. Seminar at UCLA Communications Systems Laboratory, Mar 2015 more…
  • Böcherer, G.; Schulte, P.;: Probabilistic Amplitude Shaping: Rate-Adaptive LDPC Coded Modulation. 17th Joint Conference on Communications and Coding (JCCC), Mar 2015 more…
  • Fehenberger, T.; Böcherer, G.; Alvarado, A.; Hanik, N.: LDPC coded modulation with probabilistic shaping for optical fiber systems. Optical Fiber Conference (OFC), Mar 2015 more… Full text (mediaTUM)
  • Baur, S.; Böcherer, G.: Arithmetic Distribution Matching. International ITG Conference on Systems, Communications and Coding, Feb 2015 more…

2014

  • Böcherer, G.: Probabilistic Signal Shaping for Modulation and Coding. Seminar at Associate Institute for Signal Processing, TU Munich, Dec 2014 more…
  • Böcherer, G.; Fehenberger, T.;: LDPC Coded Modulation with Probabilistic Shaping for Optical Fiber Systems. Munich Workshop on Information Theory of Optical Fiber, Dec 2014 more…
  • Böcherer, G.; Schulte, P.; Steiner, F.: Probabilistic Amplitude Shaping: Rate-Adaptive LDPC Coded Modulation. Bell Labs Future X Days, Nov 2014 more…
  • Böcherer, G.: Labeling Non-Square QAM Constellations for One-Dimensional Bit-Metric Decoding. IEEE Commun. Lett., Sep 2014 more…
  • Böcherer, G.: Probabilistic Shaping and Channel Coding in Gaussian Noise. LNT & DLR Summer Workshop on Coding, Jul 2014 more…
  • Böcherer, G.: Probabilistic Signal Shaping for Bit-Metric Decoding. IEEE Int. Symp. Inf. Theory, Jun 2014 more…
  • Böcherer, G.; Amjad, R. A.: Informational Divergence and Entropy Rate on Rooted Trees with Probabilities. IEEE Int. Symp. Inf. Theory (ISIT), Jun 2014 more…

2013

  • Böcherer, G.; Amjad, R. A.: Fixed-to-Variable Length Resolution Coding for Target Distributions. IEEE Information Theory Workshop (ITW), Sep 2013 more…
  • Amjad, R. A.; Böcherer, G.: Fixed-to-Variable Length Distribution Matching. IEEE Int. Symp. Inf. Theory(ISIT), Jul 2013 more…
  • Böcherer, G.: Block-to-Block Distribution Matching. Joint Conference on Communications and Coding, 2013 more…
  • Böcherer, G.: Optimal Non-Uniform Mapping for Probabilistic Shaping. International ITG Conference on Systems, Communications and Coding, 2013 more…

2012

  • Böcherer, G.; Altenbach, F.; Alvarado, A.; Corroy,S.; Mathar, R.: An Efficient Algorithm to Calculate BICM Capacity. IEEE International Symposium on Information Theory, 2012 more…