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P471 Equivalent Discrete Time Channel Models.edited

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Running head: EQUIVALENT DISCRETE-TIME CHANNEL MODELS 1
Equivalent Discrete-Time Channel Models
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EQUIVALENT DISCRETE-TIME CHANNEL MODELS 2
Equivalent Discrete-Time Channel Models (EDTCM) has been widely recognized in the
wireless communication world (Damrath, Korte, & Hoeher, 2017). Technology has enabled
molecular communication (MC) highly achievable. MC has proved to be energy efficient and
biocompatible. Various channels such as diffusion-based molecular communication (DBMC)
uses radio waves which spread using natural laws. However, the molecules diffuse and make the
channel response decrease thus causing inter-symbol interference. Due to this, new
communication algorithms have been invented using the DBMC channel which unfortunately is
exhaustive and time-consuming.
The first step in achieving a practical methodology has been the introduction of a
macroscopic MC which has an alcohol sensor and an electric sprayer. Communication channel
models rely on Binomial distribution, Poisson, and Gaussian distribution. Another suggestion
that has been put across that can decrease simulation time is the NanoNS. A grid strategy could
be used to enable improvement of simulation time. The NanoNS are molecular Nanonetworks
that are built above the NS-2 network simulator. They are able to diffuse molecules using
algorithms known as multi-particle lattice gas automata. Also, the use of a Nanomachine which
only requires little energy to operate would signal transduction using its receptors. The
Nanomachines based on Nanotechnology are microscopic in size so their operational speed is
quite high. They can replicate or build larger machines which can enable the creation of new
applications.
EDTCM takes in receiver waves and it boosts the DBMC making it easier to conform to
classical wireless communication principles (Damrath, Korte, & Hoeher, 2017). In this phase,
numerical simulations verify accurate performance despite computational difficulties in the
channels. A system model and the 3 approximations, Binomial, Gaussian and Poisson

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Running head: EQUIVALENT DISCRETE-TIME CHANNEL MODELS Equivalent Discrete-Time Channel Models Institution Affiliation Date 1 EQUIVALENT DISCRETE-TIME CHANNEL MODELS 2 Equivalent Discrete-Time Channel Models (EDTCM) has been widely recognized in the wireless communication world (Damrath, Korte, & Hoeher, 2017). Technology has enabled molecular communication (MC) highly achievable. MC has proved to be energy efficient and biocompatible. Various channels such as diffusion-based molecular communication (DBMC) uses radio waves which spread using natural laws. However, the molecules diffuse and make the channel response decrease thus causing inter-symbol interference. Due to this, new communication algorithms have been invented using the DBMC channel which unfortunately is exhaustive and time-consuming. The first step in achieving a practical methodology has been the introduction of a macroscopic MC which has an alcohol sensor and an electric sprayer. Communication channel models rely on Binomial distribution, Poisson, and Gaussian distribution. Another suggestion that has been put across that can decrease simulation time is the NanoNS. A grid strategy could be used to enable improvement of simulation time. The NanoNS are molecular Nanonetworks that are built above the NS-2 network simulator. They are able to diffuse molecules using algorithms known as multi-particle lattice gas automata. Also, the use of a Nanomachine which only requires little energy to operate would signal ...
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