Adaptive code width protocol for mitigating intersymbol interference in diffusion-based molecular communication with mobile nodes

Molecular communication (MC) is a promising technique to enable the communication among nanomachines for various applications in healthcare industry such as targeted drug delivery. In this paper, we focus on the intersymbol interference (ISI) problem in diffusion-based MC. In this kind of communication, the ISI is notably influenced by communication distance and code width. On this basis, we propose an adaptive code width (ACW) protocol to mitigate the intersymbol interference. In this protocol, a 'distance feedback' is used to measure the communication distance. We adopt a signal attenuation model to accomplish this task. According to the measured distance, the transmitter can adapt the modulation using an appropriate code width in order to mitigate the ISI. Moreover, the ACW protocol improves the transmission efficiency when communication distance is short and ISI does not affect bit error rate. Finally it is verified that this protocol is feasible to control the ISI at a low level even when the channel varies due to the mobility of the transceivers.

[1]  Takahiro Hara,et al.  Cooperative Target Tracking by a Mobile Bionanosensor Network , 2014, IEEE Transactions on NanoBioscience.

[2]  Ian F. Akyildiz,et al.  Interference effects on modulation techniques in diffusion based nanonetworks , 2012, Nano Commun. Networks.

[3]  Tatsuya Suda,et al.  Measuring Distance From Single Spike Feedback Signals in Molecular Communication , 2012, IEEE Transactions on Signal Processing.

[4]  Massimiliano Pierobon,et al.  Intersymbol and co-channel interference in diffusion-based molecular communication , 2012, 2012 IEEE International Conference on Communications (ICC).

[5]  H. Berg Random Walks in Biology , 2018 .

[6]  Tadashi Nakano,et al.  Molecular Communication , 2005 .

[7]  H. T. Mouftah,et al.  Characterization of intersymbol interference in concentration-encoded unicast molecular communication , 2011, 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE).

[8]  Chia-han Lee,et al.  Channel codes for mitigating intersymbol interference in diffusion-based molecular communications , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[9]  V. Vitagliano,et al.  Diffusion Coefficients for Aqueous Solutions of Sodium Chloride and Barium Chloride , 1956 .

[10]  Tatsuya Suda,et al.  Measuring Distance with Molecular Communication Feedback Protocols , 2010 .

[11]  Qiang Liu,et al.  Improving reliability performance of diffusion-based molecular communication with adaptive threshold variation algorithm , 2016, Int. J. Commun. Syst..

[12]  Ian F. Akyildiz,et al.  Nanonetworks: A new communication paradigm , 2008, Comput. Networks.