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Effect of Receiver Sensitivity in Molecular Communication via Diffusion

Anmol Preet Kaur, Dr. Deep Kamal Kaur Randhawa, Gurleen Kaur Walia

Abstract


Diffusion based molecular communication in nano-communication networks are characterized by random motion of the chemical signal or information molecules from transmitter to the receiver nano-machine. In order to make MCvD system more reliable, worked on the receiver side to increase the capability of receiving chemical signals. This paper enhances the sensitivity area of the receiver and then finds optimum areas of the receiver nano-machine. Proper selection of receiver sensing area is important since the information molecules needs to be received as fast as possible with low symbol error rates. By using this technique, there is an improvement in Inter-Symbol Interference (ISI) and communication delay that arises from Brownian motion.


Keywords


Inter-Symbol Interference (ISI), Ligand Receptors, Receiver Sensing Space, Brownian Motion, MolecUlar CommuINcation (MUCIN) Simulator.

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References


Kuran, Mehmet S, "Modulation techniques for communication via diffusion in nanonetworks," In Communications (ICC), International Conference on, pp. 1-5, IEEE, 2011.

Pierobon, Massimiliano, and Ian F. Akyildiz, "A physical end-to-end model for molecular communication in nanonetworks," IEEE Journal on Selected Areas in Communications, vol. 28, pp. 4, May 2010.

Einolghozati, Arash, Mohsen Sardari, and Faramarz Fekri, "Capacity of diffusion-based molecular communication with ligand receptors," In Information Theory Workshop (ITW), , pp. 85-89, 2011 IEEE.

Ko, Pin-Yu, et al, "A new paradigm for channel coding in diffusion-based molecular communications: Molecular coding distance function," In Global Communications Conference (GLOBECOM), pp. 3748-3753, 2012 IEEE.

Yilmaz, H. Birkan, and Chan-Byoung Chae, "Simulation study of molecular communication systems with an absorbing receiver: Modulation and ISI mitigation techniques," Simulation Modelling Practice and Theory, vol. 49, pp.136-150, Dec 2014.

Mahfuz, Mohammad Upal, Dimitrios Makrakis, and Hussein T. Mouftah, "On the Detection of Binary Concentration-encoded Unicast Molecular Communication in Nanonetworks,” BIOSIGNALS, pp. 446-449, Jan 2011.

Yilmaz, H. Birkan, "Three-dimensional channel characteristics for molecular communications with an absorbing receiver," IEEE Communications Letters vol. 18.6, pp. 929-932, Jun 2014.

Yilmaz HB, Kim NR, Chae CB, “Effect of ISI mitigation on modulation techniques in communication via diffusion”, arXiv preprint arXiv: 1401.3410, Jan 2014.

Mahfuz, M.U., Makrakis, D. and Mouftah, H.T,“On the characterization of binary concentration-encoded molecular communication in nanonetworks,” Nano Communication Networks, vol. 1(4), pp.289-300, Dec 2010.

Meng, L.S., Yeh, P.C., Chen, K.C. and Akyildiz, I.F., “Optimal detection for diffusion-based communications in the presence of ISI,” In Global Communications Conference (GLOBECOM), pp. 3819-3824, 2012 IEEE.

Mahfuz, M.U., Makrakis, D. and Mouftah, H.T., “On the Detection of Binary Concentration-encoded Unicast Molecular Communication in Nanonetworks,” In BIOSIGNALS, pp. 446-449, Jan 2011.

Tepekule, B., Pusane, A.E., Kuran, M.Ş. and Tugcu, T., “A novel pre-equalization method for molecular communication via diffusion in nanonetworks,” IEEE Communications letters, vol. 19(8), pp.1311-1314, Aug 2015.

Llatser, I., Cabellos-Aparicio, A., Pierobon, M. and Alarcón, E., “Detection techniques for diffusion-based molecular communication,” IEEE Journal on Selected Areas in Communications, vol. 31(12), pp.726-734, Dec 2013.

Atakan, Baris, and Ozgur B. Akan, "On channel capacity and error compensation in molecular communication," In Transactions on computational systems biology X, pp. 59-80, Springer Berlin Heidelberg, 2008.

Tepekule, B., Pusane, A.E., Yilmaz, H.B., Chae, C.B. and Tugcu, T., “ISI mitigation techniques in molecular communication,” IEEE Transactions on Molecular, Biological and Multi-Scale Communications, vol. 1(2), pp.202-216, Jun 2015.

Pierobon, M. and Akyildiz, I.F., “A physical end-to-end model for molecular communication in nanonetworks,” IEEE Journal on Selected Areas in Communications 28, no. 4, May 2010.


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