Detection in neuronal communications with finite channel state

Simple item page
dc.contributor.authorAmiri, Abolfazl
dc.contributor.authorSalehkalaibar, Sadaf
dc.contributor.authorMaham, Behrouz
dc.creatorAbolfazl, Amiri
dc.date.accessioned2017-12-15T04:21:41Z
dc.date.available2017-12-15T04:21:41Z
dc.date.issued2017-09-01
dc.description.abstractAbstract Nano-networks are the key factors in developing future nano-machines. The use of molecules to transmit information in such networks is the subject of molecular communications. The future of the nano-networks depends on the development of the molecular communications. Neuro-synaptic communication, which models the data transmission in the body nervous system, is an important example of molecular communication. In this paper, we introduce a comprehensive channel model for the neuro-synaptic communication channel. Our model incorporates the effect of different channel states and spike rates that exist in the body nervous system. We propose a finite state Markov channel scheme for the communication system. This scheme has a two dimensional state space according to the neural firing rate and the number of available carrier resources. Next, we suggest an M-ary signaling scheme for the synaptic area that models the synaptic multi-site activity. In this activity, several neuronal endpoints participate in the neurotransmitter release process. Moreover, we obtain a closed-form solution for the detector at the destination neuron. Finally, we evaluate the decision rules in the detector with simulations.
dc.identifierDOI:10.1016/j.nancom.2017.08.002
dc.identifier.citationAbolfazl Amiri, Sadaf Salehkalaibar, Behrouz Maham, Detection in neuronal communications with finite channel state, In Nano Communication Networks, Volume 13, 2017, Pages 60-69
dc.identifier.issn18787789
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1878778916300308
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/2926
dc.relation.ispartofNano Communication Networks
dc.rights.license© 2017 Elsevier B.V. All rights reserved.
dc.subjectMolecular communications
dc.subjectNeuro-synaptic communications
dc.subjectFinite state Markov channel
dc.subjectMAP detector
dc.titleDetection in neuronal communications with finite channel state
dc.typeArticle
dcterms.publisherNano Communication Networks
elsevier.aggregationtypeJournal
elsevier.coverdate2017-09-01
elsevier.coverdisplaydateSeptember 2017
elsevier.endingpage69
elsevier.identifier.doi10.1016/j.nancom.2017.08.002
elsevier.identifier.eid1-s2.0-S1878778916300308
elsevier.identifier.piiS1878-7789(16)30030-8
elsevier.identifier.scopusid85028524030
elsevier.openaccess0
elsevier.openaccessarticlefalse
elsevier.openarchivearticlefalse
elsevier.startingpage60
elsevier.teaserNano-networks are the key factors in developing future nano-machines. The use of molecules to transmit information in such networks is the subject of molecular communications. The future of the nano-networks...
elsevier.volume13

Files

Collections

Articles