Detection in neuronal communications with finite channel state
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Date
2017-09-01
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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.
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Molecular communications, Neuro-synaptic communications, Finite state Markov channel, MAP detector
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