Capacity Analysis of Neuro-spike Communication System for Nanonetworks

Abstract

Molecular communication is a new paradigm to solve the problems of conventional communication system, such as capacity or energy consumption. The neural network is one of the molecular communication mechanism valid for higher animals and considered as a highly advanced information transfer network in terms of capacity, reliability and energy consumption. In this paper, we provide the capacity of neuro-spike communication system, which is inspired from neural network. The neuro-spike communication consists of axon propagation, vesicle release and neurotransmitter diffusion. Through modeling and analysis of the above three parts, the capacity of the neuro-spike communication can be obtained. Numerical results show the trends of the capacity for main parameters, such as bandwidth, absolute refractory period and distance. The capacity is converged to certain value even though bandwidth of input signal becomes larger and larger. As a result, it can be seen that refractory period is a key parameter in neuro-spike communication system.