dc.contributor.author |
Amiri, Abolfazl
|
|
dc.contributor.author |
Salehkalaibar, Sadaf
|
|
dc.contributor.author |
Maham, Behrouz
|
|
dc.creator |
Abolfazl, Amiri |
|
dc.date.accessioned |
2017-12-15T04:21:41Z |
|
dc.date.available |
2017-12-15T04:21:41Z |
|
dc.date.issued |
2017-09-01 |
|
dc.identifier |
DOI:10.1016/j.nancom.2017.08.002 |
|
dc.identifier.citation |
Abolfazl 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.issn |
18787789 |
|
dc.identifier.uri |
https://www.sciencedirect.com/science/article/pii/S1878778916300308 |
|
dc.identifier.uri |
http://nur.nu.edu.kz/handle/123456789/2926 |
|
dc.description.abstract |
Abstract 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.relation.ispartof |
Nano Communication Networks |
|
dc.subject |
Molecular communications |
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dc.subject |
Neuro-synaptic communications |
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dc.subject |
Finite state Markov channel |
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dc.subject |
MAP detector |
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dc.title |
Detection in neuronal communications with finite channel state |
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dc.type |
Article |
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dc.rights.license |
© 2017 Elsevier B.V. All rights reserved. |
|
dcterms.publisher |
Nano Communication Networks |
|
elsevier.identifier.doi |
10.1016/j.nancom.2017.08.002 |
|
elsevier.identifier.eid |
1-s2.0-S1878778916300308 |
|
elsevier.identifier.pii |
S1878-7789(16)30030-8 |
|
elsevier.identifier.scopusid |
85028524030 |
|
elsevier.volume |
13 |
|
elsevier.coverdate |
2017-09-01 |
|
elsevier.coverdisplaydate |
September 2017 |
|
elsevier.startingpage |
60 |
|
elsevier.endingpage |
69 |
|
elsevier.openaccess |
0 |
|
elsevier.openaccessarticle |
false |
|
elsevier.openarchivearticle |
false |
|
elsevier.teaser |
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... |
|
elsevier.aggregationtype |
Journal |
|