Performance analysis of Decode and Forward Relay network in Diffusion based Molecular Communication

Molecular Communication via Diffusion (MCvD) is a promising paradigm which enables nano-machines to communicate with each other. However, the reliability of existing communication systems degrades rapidly as the distance between the transmitters and the receivers grows. To solve this issue, Decode and Forward Relaying scheme can be implemented. In this paper we study the optimal baud-rate and timing offset to mitigate the overall Inter-Symbol Interference(ISI) and obtain maximum throughput in relay network. Our simulation results indicate that relaying scheme can significantly improve the performance by 5dB at high SNRs.

[1]  S. Redner.  A guide to first-passage processes , 2001 .

[2]  Robert Schober,et al.  Analysis and Design of Multi-Hop Diffusion-Based Molecular Communication Networks , 2014, IEEE Transactions on Molecular, Biological and Multi-Scale Communications.

[3]  Chia-han Lee,et al.  On Timing Synchronization for Quantity-based Modulation in Additive Inverse Gaussian Channel with Drift , 2014, ArXiv.

[4]  Robert Schober,et al.  Analysis and design of two-hop diffusion-based molecular communication networks , 2014, 2014 IEEE Global Communications Conference.

[5]  Sidney Redner,et al.  A guide to first-passage processes , 2001 .

[6]  Jian-Qin Liu,et al.  Design and Analysis of Molecular Relay Channels: An Information Theoretic Approach , 2010, IEEE Transactions on NanoBioscience.

[7]  Ian F. Akyildiz,et al.  Modulation Techniques for Communication via Diffusion in Nanonetworks , 2011, 2011 IEEE International Conference on Communications (ICC).

[8]  Tuna Tugcu,et al.  Three-Dimensional Channel Characteristics for Molecular Communications With an Absorbing Receiver , 2014, IEEE Communications Letters.

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

[10]  Huseyin Birkan Yilmaz,et al.  Arrival modelling for molecular communication via diffusion , 2014 .

[11]  Chan-Byoung Chae,et al.  Effect of ISI Mitigation on Modulation Techniques in Communication via Diffusion , 2014, ArXiv.

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

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

[14]  Matthew D. Higgins,et al.  Relay Analysis in Molecular Communications With Time-Dependent Concentration , 2015, IEEE Communications Letters.

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

[16]  Sebastian Magierowski,et al.  Blind Synchronization in Diffusion-Based Molecular Communication Channels , 2013, IEEE Communications Letters.