Intersymbol and co-channel interference in diffusion-based molecular communication

Molecular Communication (MC) is a bio-inspired paradigm where information is exchanged by the release, the propagation and the reception of molecules. The objective of this paper is to analyze the effects of interference in the most general type of MC system, i.e., the diffusion of molecules in a fluidic medium. The study of the InterSymbol Interference (ISI) and Co-Channel Interference (CCI) is conducted through the analysis of the propagation of signals in a diffusion-based channel. An in-depth analysis of the attenuation and the dispersion of signals due to molecule diffusion allows to derive simple closed-form formulas for both ISI and CCI. In this paper, two different modulation schemes, namely, the baseband modulation and the diffusion wave modulation are considered for the release of molecules in the diffusion-based MC and are compared in terms of interference. It is determined that the diffusion wave modulation scheme shows lower interference values than the baseband modulation scheme. Moreover, it is revealed that the higher is the frequency of the modulating diffusion wave, the lower are the effects of the ISI and the CCI on the communication channel. The obtained analytical results are compared and validated by numerical simulation results.

[1]  Peter J. Thomas,et al.  The Diffusion-Limited Biochemical Signal-Relay Channel , 2003, NIPS.

[2]  Massimiliano Pierobon,et al.  Information capacity of diffusion-based molecular communication in nanonetworks , 2011, 2011 Proceedings IEEE INFOCOM.

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

[4]  Andreas Mandelis,et al.  Diffusion Waves and their Uses , 2000 .

[5]  Massimiliano Pierobon,et al.  A physical end-to-end model for molecular communication in nanonetworks , 2010, IEEE Journal on Selected Areas in Communications.

[6]  A. Mandelis Diffusion-wave fields : mathematical methods and Green functions , 2001 .

[7]  Özgür B. Akan,et al.  On Molecular Multiple-Access, Broadcast, and Relay Channels in Nanonetworks , 2008, BIONETICS.

[8]  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.

[9]  R. Abercrombie,et al.  Free diffusion coefficient of ionic calcium in cytoplasm. , 1987, Cell calcium.

[10]  Tatsuya Suda,et al.  A design of a molecular communication system for nanomachines using molecular motors , 2006, Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06).

[11]  H. A. Davies Iron-neodymium-boron magnets produced by melt-spin processing , 1989 .

[12]  Ahmed Ali Mohammed,et al.  Integral transforms and their applications , 2009 .

[13]  Ian F. Akyildiz,et al.  Molecular communication options for long range nanonetworks , 2009, Comput. Networks.

[14]  Ian F. Akyildiz,et al.  A new nanonetwork architecture using flagellated bacteria and catalytic nanomotors , 2010, IEEE Journal on Selected Areas in Communications.

[15]  Kazuhiro Oiwa,et al.  Molecular Communication: Modeling Noise Effects on Information Rate , 2009, IEEE Transactions on NanoBioscience.