Influence of neighboring absorbing receivers upon the inter-symbol interference in a diffusion-based molecular communication system

Abstract A Diffusion-based Molecular Communication (DMC) system is based on the free diffusion of particles that carry the message between the transmitter and the receivers. One of the main problems which lead to decreased data rates in such network is the Inter Symbol Interference (ISI) caused by the heavy tail of the impulse response. In this paper, we study the influence of neighboring absorbing receivers upon the Inter Symbol Interference (ISI) of a Diffusion-based Molecular Communication (DMC) point-to-point link. It is shown that neighboring absorbing receivers have a noticeable impact on reducing the tail of the detected pulse-shape and, hence, higher achievable throughput are reachable.

[1]  Chan-Byoung Chae,et al.  Simulation study of molecular communication systems with an absorbing receiver: Modulation and ISI mitigation techniques , 2014, Simul. Model. Pract. Theory.

[2]  S. Schultz Principles of Neural Science, 4th ed. , 2001 .

[3]  Pietro Liò,et al.  Opportunistic routing through conjugation in bacteria communication nanonetwork , 2012, Nano Commun. Networks.

[4]  Ioannis Karatzas,et al.  Brownian Motion and Stochastic Calculus , 1987 .

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

[6]  Athanasios V. Vasilakos,et al.  Throughput and efficiency of molecular communication between nanomachines , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[7]  Raviraj S. Adve,et al.  Molecular Communication Using Brownian Motion With Drift , 2010, IEEE Transactions on NanoBioscience.

[8]  Tatsuya Suda,et al.  Exploratory Research on Molecular Communication between Nanomachines , 2005 .

[9]  J. Rospars,et al.  Perireceptor and receptor events in olfaction. Comparison of concentration and flux detectors: a modeling study. , 2000, Chemical senses.

[10]  Tuna Tugcu,et al.  Calcium signaling: overview and research directions of a molecular communication paradigm , 2012, IEEE Wireless Communications.

[11]  Eduard Alarcón,et al.  N3Sim: Simulation framework for diffusion-based molecular communication nanonetworks , 2014, Simul. Model. Pract. Theory.

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

[13]  Tuna Tugcu,et al.  ISI Mitigation Techniques in Molecular Communication , 2014, IEEE Transactions on Molecular, Biological and Multi-Scale Communications.

[14]  Chan-Byoung Chae,et al.  Effective inter‐symbol interference mitigation with a limited amount of enzymes in molecular communications , 2016, Trans. Emerg. Telecommun. Technol..

[15]  Yae Jee Cho,et al.  Interference reduction via enzyme deployment for molecular communication , 2016 .

[16]  Ian F. Akyildiz,et al.  MIMO communications based on molecular diffusion , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[17]  W H Bossert,et al.  The analysis of olfactory communication among animals. , 1963, Journal of theoretical biology.

[18]  Robert Schober,et al.  Improving Receiver Performance of Diffusive Molecular Communication With Enzymes , 2013, IEEE Transactions on NanoBioscience.

[19]  Massimiliano Pierobon,et al.  Simulation-based evaluation of the diffusion-based physical channel in molecular nanonetworks , 2011, 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[20]  Raviraj S. Adve,et al.  A Framework to Study the Molecular Communication System , 2009, 2009 Proceedings of 18th International Conference on Computer Communications and Networks.

[21]  A. R. Aricescu,et al.  Crystal structure of a human GABAA receptor , 2014, Nature.

[22]  Matthew D. Higgins,et al.  Forward error correction for molecular communications , 2012, Nano Commun. Networks.

[23]  Eduard Alarcón,et al.  Characterizing the Physical Influence of Neighboring Absorbing Receivers in Molecular Communication , 2016, NANOCOM.

[24]  Dimitrios Makrakis,et al.  Performance Analysis of Convolutional Coding Techniques in Diffusion-Based Concentration-Encoded PAM Molecular Communication Systems , 2013, BioNanoScience.

[25]  S. Takeuchi,et al.  Biomolecular-motor-based nano- or microscale particle translocations on DNA microarrays. , 2009, Nano letters.

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

[27]  Mohsen Sardari,et al.  Capacity of discrete molecular diffusion channels , 2011, 2011 IEEE International Symposium on Information Theory Proceedings.

[28]  Kwang-Cheng Chen,et al.  Channel Codes for Reliability Enhancement in Molecular Communication , 2013, IEEE Journal on Selected Areas in Communications.

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