A Comprehensive Survey of Recent Advancements in Molecular Communication N Farsad, HB Yilmaz, A Eckford, CB Chae, W Guo IEEE Communications Surveys and Tutorials 18 (3), 1887-1919, 2016 | 930 | 2016 |
Neural network detection of data sequences in communication systems N Farsad, A Goldsmith IEEE Transactions on Signal Processing 66 (21), 5663-5678, 2018 | 361 | 2018 |
Deep learning for joint source-channel coding of text N Farsad, M Rao, A Goldsmith 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 325 | 2018 |
Tabletop molecular communication: Text messages through chemical signals N Farsad, W Guo, AW Eckford PloS one 8 (12), e82935, 2013 | 271 | 2013 |
Molecular MIMO: From theory to prototype BH Koo, C Lee, HB Yilmaz, N Farsad, A Eckford, CB Chae IEEE Journal on Selected Areas in Communications 34 (3), 600-614, 2016 | 227 | 2016 |
Detection algorithms for communication systems using deep learning N Farsad, A Goldsmith arXiv preprint arXiv:1705.08044, 2017 | 163 | 2017 |
ViterbiNet: A deep learning based Viterbi algorithm for symbol detection N Shlezinger, N Farsad, YC Eldar, AJ Goldsmith IEEE Transactions on Wireless Communications 19 (5), 3319-3331, 2020 | 148 | 2020 |
Molecular communications: Channel model and physical layer techniques W Guo, T Asyhari, N Farsad, HB Yilmaz, B Li, A Eckford, CB Chae IEEE Wireless Communications 23 (4), 120-127, 2016 | 137 | 2016 |
Channel and noise models for nonlinear molecular communication systems N Farsad, NR Kim, AW Eckford, CB Chae IEEE Journal on Selected Areas in Communications 32 (12), 2392-2401, 2014 | 126 | 2014 |
A novel experimental platform for in-vessel multi-chemical molecular communications N Farsad, D Pan, A Goldsmith GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 124 | 2017 |
On-Chip Molecular Communication: Analysis and Design N Farsad, A Eckford, S Hiyama, Y Moritani IEEE Transactions on NanoBioscience 11 (3), 304--314, 2012 | 109 | 2012 |
Molecular versus electromagnetic wave propagation loss in macro-scale environments W Guo, C Mias, N Farsad, JL Wu IEEE Transactions on Molecular, Biological and Multi-Scale Communications 1 …, 2015 | 102 | 2015 |
A survey on modulation techniques in molecular communication via diffusion MŞ Kuran, HB Yilmaz, I Demirkol, N Farsad, A Goldsmith IEEE Communications Surveys & Tutorials 23 (1), 7-28, 2020 | 90 | 2020 |
Stable distributions as noise models for molecular communication N Farsad, W Guo, CB Chae, A Eckford 2015 IEEE Global Communications Conference (GLOBECOM), 1-6, 2015 | 77 | 2015 |
Machine learning based channel modeling for molecular MIMO communications C Lee, HB Yilmaz, CB Chae, N Farsad, A Goldsmith 2017 IEEE 18th international workshop on signal processing advances in …, 2017 | 68 | 2017 |
Microchannel molecular communication with nanoscale carriers: Brownian motion versus active transport AW Eckford, N Farsad, S Hiyama, Y Moritani 10th IEEE International Conference on Nanotechnology, 854-858, 2010 | 66 | 2010 |
Two way molecular communications JW Kwack, HB Yilmaz, N Farsad, CB Chae, A Goldsmith Proceedings of the 5th ACM International Conference on Nanoscale Computing …, 2018 | 60 | 2018 |
Data-driven symbol detection via model-based machine learning N Farsad, N Shlezinger, AJ Goldsmith, YC Eldar 2021 IEEE Statistical Signal Processing Workshop (SSP), 571-575, 2021 | 56 | 2021 |
Viterbinet: Symbol detection using a deep learning based viterbi algorithm N Shlezinger, YC Eldar, N Farsad, AJ Goldsmith 2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019 | 50 | 2019 |
A molecular communication system using acids, bases and hydrogen ions N Farsad, A Goldsmith 2016 IEEE 17th International Workshop on Signal Processing Advances in …, 2016 | 48 | 2016 |