The Clock-Free Asynchronous Receiver Design for Molecular Timing Channels in Diffusion-Based Molecular Communications

In diffusion-based molecular communications, time synchronization is a major reason for the increase of system structure complexity. In this paper, we consider the asynchronous receiver design for molecular communications with information symbols conveyed in the time of released molecules. The main contribution of this paper is that we develop a detector called clock-free asynchronous receiver design (CFARD), in which the receiver recovers the information symbols without measuring the arrival time of molecules. The theoretical analysis indicates that compared with the synchronous receiver designs, the proposed scheme considerably lowers the structure complexity for information demodulation, which is of great significance to the feasibility of nano-scale molecular communications systems with the limitation of energy and size. The numerical results show that in the comparison of bit error ratio (BER) performance, the proposed asynchronous receiver design outperforms the synchronous linear average filter (LAF) detector and approaches to the synchronous maximum likelihood (ML) detector and first arrival (FA) detector.

[1]  H. Kitano,et al.  Computational systems biology , 2002, Nature.

[2]  Andrew W. Eckford,et al.  A Comprehensive Survey of Recent Advancements in Molecular Communication , 2014, IEEE Communications Surveys & Tutorials.

[3]  K. Showalter,et al.  Dynamical Quorum Sensing and Synchronization in Large Populations of Chemical Oscillators , 2009, Science.

[4]  R. Weiss,et al.  Programmed population control by cell–cell communication and regulated killing , 2004, Nature.

[5]  Athanasios V. Vasilakos,et al.  A Molecular Communications Model for Drug Delivery , 2015, IEEE Transactions on NanoBioscience.

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

[7]  Reza Malekian,et al.  Molecular Communication and Nanonetwork for Targeted Drug Delivery: A Survey , 2017, IEEE Communications Surveys & Tutorials.

[8]  Andrew W. Eckford,et al.  Communication System Design and Analysis for Asynchronous Molecular Timing Channels , 2017, IEEE Transactions on Molecular, Biological and Multi-Scale Communications.

[9]  Baris Atakan Optimal Transmission Probability in Binary Molecular Communication , 2013, IEEE Communications Letters.

[10]  A. Vasilakos,et al.  Molecular Communication Among Biological Nanomachines: A Layered Architecture and Research Issues , 2014, IEEE Transactions on NanoBioscience.

[11]  Denis Noble,et al.  The rise of computational biology , 2002, Nature Reviews Molecular Cell Biology.

[12]  K. R. Harris,et al.  Diffusion in Liquids: A Theoretical and Experimental Study , 2013 .

[13]  Chan-Byoung Chae,et al.  Novel Modulation Techniques using Isomers as Messenger Molecules for Nano Communication Networks via Diffusion , 2012, IEEE Journal on Selected Areas in Communications.

[14]  Robert Langer,et al.  Drugs on Target , 2001, Science.

[15]  Raviraj S. Adve,et al.  Molecular Communication in Fluid Media: The Additive Inverse Gaussian Noise Channel , 2010, IEEE Transactions on Information Theory.

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

[17]  David J Schwab,et al.  Dynamical quorum-sensing in oscillators coupled through an external medium. , 2012, Physica D. Nonlinear phenomena.

[18]  Massimiliano Pierobon,et al.  Diffusion-based physical channel identification in molecular nanonetworks , 2011, Nano Commun. Networks.

[19]  A. Vasilakos,et al.  Molecular Communication and Networking: Opportunities and Challenges , 2012, IEEE Transactions on NanoBioscience.

[20]  Andrew W. Eckford Timing Information Rates for Active Transport Molecular Communication , 2009, NanoNet.

[21]  Herbert A. David,et al.  Order Statistics , 2011, International Encyclopedia of Statistical Science.

[22]  Masami Hagiya,et al.  Design of molecular-based network robots-Toward the environmental control , 2011, 2011 11th IEEE International Conference on Nanotechnology.

[23]  Tuna Tugcu,et al.  Effect of Degradation in Molecular Communication: Impairment or Enhancement? , 2014, IEEE Transactions on Molecular, Biological and Multi-Scale Communications.

[24]  Andre Levchenko,et al.  Oscillatory signaling processes: the how, the why and the where. , 2010, Current opinion in genetics & development.

[25]  Andrea Goldsmith,et al.  Optimal Detection for One-Shot Transmission Over Diffusion-Based Molecular Timing Channels , 2018, IEEE Transactions on Molecular, Biological and Multi-Scale Communications.

[26]  T. Suda,et al.  Molecular communication for nanomachines using intercellular calcium signaling , 2005, 5th IEEE Conference on Nanotechnology, 2005..

[27]  Miqin Zhang,et al.  Design and fabrication of magnetic nanoparticles for targeted drug delivery and imaging. , 2010, Advanced drug delivery reviews.

[28]  Tadashi NakanoMichael Moore,et al.  Molecular Communication Paradigm Overview , 2011, J. Next Gener. Inf. Technol..

[29]  Tadashi Nakano,et al.  Synchronization of Inhibitory Molecular Spike Oscillators , 2011, BIONETICS.

[30]  Tadashi Nakano,et al.  Oscillation and Synchronization of Molecular Machines by the Diffusion of Inhibitory Molecules , 2013, IEEE Transactions on Nanotechnology.

[31]  Andrea J. Goldsmith,et al.  On the capacity of diffusion-based molecular timing channels , 2016, 2016 IEEE International Symposium on Information Theory (ISIT).

[32]  Keita Fujii,et al.  Biologically Inspired Approaches to Network Systems , 2009 .

[33]  R. Weiss,et al.  Artificial cell-cell communication in yeast Saccharomyces cerevisiae using signaling elements from Arabidopsis thaliana , 2005, Nature Biotechnology.

[34]  T. Suda,et al.  Molecular Communication among Nanomachines Using Vesicles , 2006 .

[35]  S. Basu,et al.  A synthetic multicellular system for programmed pattern formation , 2005, Nature.

[36]  Andrew W. Eckford,et al.  Nanoscale Communication with Brownian Motion , 2007, 2007 41st Annual Conference on Information Sciences and Systems.

[37]  Dongbing Gu,et al.  Exploiting bacteria swarms for pollution mapping , 2009, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[38]  J. Hasty,et al.  Synchronizing genetic relaxation oscillators by intercell signaling , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[39]  Athanasios V. Vasilakos,et al.  TCP-Like Molecular Communications , 2014, IEEE Journal on Selected Areas in Communications.

[40]  R. Chang Physical Chemistry for the Biosciences , 2005 .