TY - GEN
T1 - Neural Network Detectors for Molecular Communication Systems
AU - Farsad, Nariman
AU - Goldsmith, Andrea
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/24
Y1 - 2018/8/24
N2 - We consider molecular communication systems and show it is possible to train detectors without any knowledge of the underlying channel models. In particular, we demonstrate that a technique we previously developed, which is called sliding bidirectional recurrent neural network (SBRNN), performs well for a wide range of channel states when it is trained using a dataset that contains many sample transmissions under various channel conditions. We also demonstrate that the bit error rate (BER) performance of the proposed SBRNN detector is better than that of a Viterbi detector (VD) with imperfect channel state information (CSI) and it is computationally efficient.
AB - We consider molecular communication systems and show it is possible to train detectors without any knowledge of the underlying channel models. In particular, we demonstrate that a technique we previously developed, which is called sliding bidirectional recurrent neural network (SBRNN), performs well for a wide range of channel states when it is trained using a dataset that contains many sample transmissions under various channel conditions. We also demonstrate that the bit error rate (BER) performance of the proposed SBRNN detector is better than that of a Viterbi detector (VD) with imperfect channel state information (CSI) and it is computationally efficient.
UR - https://www.scopus.com/pages/publications/85053464407
U2 - 10.1109/SPAWC.2018.8445926
DO - 10.1109/SPAWC.2018.8445926
M3 - Conference contribution
AN - SCOPUS:85053464407
SN - 9781538635124
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
BT - 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
Y2 - 25 June 2018 through 28 June 2018
ER -