Publications

Google Scholar | ORCID

Preprints

• E. Ozyilkan*, F. Carpi*, S. Garg, E. Erkip, “Learning-Based Compress-and-Forward Schemes for the Relay Channel,” under review.
  arXiv

Journal

• F. Carpi, M. Martalò, L. Davoli, A. Cilfone, Y. Yu, Y. Wang, G. Ferrari, “Experimental Analysis of RSSI-based Localization Algorithms with NLOS Pre-Mitigation for IoT Applications,” in Computer Networks, vol. 225, 2023.
  DOI

Conference

• E. Ozyilkan*, F. Carpi*, S. Garg, E. Erkip, “Neural Compress-and-Forward for the Relay Channel,” in Proc. 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lucca, Italy, 2024, pp. 366-370.
  DOI | arXiv | Poster

• F. Carpi, S. Rostami, J. Cho, S. Garg, E. Erkip, C. J. Zhang, “Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM,” in Proc. 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lucca, Italy, 2024, pp. 406-410.
  DOI | arXiv | Poster

• F. Carpi, S. Venkatesan, J. Du, H. Viswanathan, S. Garg, E. Erkip, “Precoding-oriented Massive MIMO CSI Feedback Design,” in Proc. 2023 IEEE International Conference on Communications (ICC), Rome, Italy, May 2023.
  DOI | arXiv | Slides | Poster

• F. Carpi, S. Garg, E. Erkip, “Single-Shot Compression for Hypothesis Testing,” in Proc. 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lucca, Italy, September 2021.
  *** Best Student Paper Award (2nd place) at IEEE SPAWC 2021.
  *** Best Poster Award (1st place) at IEEE Communication Theory Workshop 2021.
  DOI | arXiv | Poster | Slides | Video

• F. Carpi, C. Häger, M. Martalò, R. Raheli, H. D. Pfister, “Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding,” in Proc. 2019 57th Annual Allerton Conference on Communication, Control and Computing (Allerton), Monticello, IL, USA, September 2019.
  DOI | arXiv | Slides | Github

• F. Carpi, L. Davoli, M. Martalò, A. Cilfone, Y. Yu, Y. Wang, G. Ferrari, “RSSI-based Methods for LOS/NLOS Channel Identification in Indoor Scenarios,” in Proc. 16th Int. Symp. on Wireless Communication Systems (ISWCS), Oulu, Finland, August 2019.
  DOI

• M. Lian, F. Carpi, C. Häger, H. D. Pfister, “Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation,” in Proc. IEEE Int. Symp. on Information Theory (ISIT), Paris, France, July 2019.
  DOI | arXiv

Thesis

• “Learned Task-Aware Compression Methods in Communication Systems,” Ph.D. in Electrical Engineering, New York University Tandon School of Engineering, September 2024.
  Dissertation | Slides

• “Exploring Machine Learning Algorithms for Decoding Linear Block Codes,” Master of Science in Communication Engineering, University of Parma, Italy, October 2018.
  Thesis | Summary | Slides