129 research outputs found
Capacity of a Simple Intercellular Signal Transduction Channel
We model the ligand-receptor molecular communication channel with a
discrete-time Markov model, and show how to obtain the capacity of this
channel. We show that the capacity-achieving input distribution is iid;
further, unusually for a channel with memory, we show that feedback does not
increase the capacity of this channel.Comment: 5 pages, 1 figure. To appear in the 2013 IEEE International Symposium
on Information Theor
Scaling laws for molecular communication
In this paper, we investigate information-theoretic scaling laws, independent
from communication strategies, for point-to-point molecular communication,
where it sends/receives information-encoded molecules between nanomachines.
Since the Shannon capacity for this is still an open problem, we first derive
an asymptotic order in a single coordinate, i.e., i) scaling time with constant
number of molecules and ii) scaling molecules with constant time . For a
single coordinate case, we show that the asymptotic scaling is logarithmic in
either coordinate, i.e., and , respectively.
We also study asymptotic behavior of scaling in both time and molecules and
show that, if molecules and time are proportional to each other, then the
asymptotic scaling is linear, i.e., .Comment: Accepted for publication in the 2014 IEEE International Symposium on
Information Theor
Root Mean Square Error of Neural Spike Train Sequence Matching with Optogenetics
Optogenetics is an emerging field of neuroscience where neurons are
genetically modified to express light-sensitive receptors that enable external
control over when the neurons fire. Given the prominence of neuronal signaling
within the brain and throughout the body, optogenetics has significant
potential to improve the understanding of the nervous system and to develop
treatments for neurological diseases. This paper uses a simple optogenetic
model to compare the timing distortion between a randomly-generated target
spike sequence and an externally-stimulated neuron spike sequence. The
distortion is measured by filtering each sequence and finding the root mean
square error between the two filter outputs. The expected distortion is derived
in closed form when the target sequence generation rate is sufficiently low.
Derivations are verified via simulations.Comment: 6 pages, 5 figures. Will be presented at IEEE Global Communications
Conference (IEEE GLOBECOM 2017) in December 201
Design and Optimizing of On-Chip Kinesin Substrates for Molecular Communication
Lab-on-chip devices and point-of-care diagnostic chip devices are composed of
many different components such as nanosensors that must be able to communicate
with other components within the device. Molecular communication is a promising
solution for on-chip communication. In particular, kinesin driven microtubule
(MT) motility is an effective means of transferring information particles from
one component to another. However, finding an optimal shape for these channels
can be challenging. In this paper we derive a mathematical optimization model
that can be used to find the optimal channel shape and dimensions for any
transmission period. We derive three specific models for the rectangular
channels, regular polygonal channels, and regular polygonal ring channels. We
show that the optimal channel shapes are the square-shaped channel for the
rectangular channel, and circular-shaped channel for the other classes of
shapes. Finally, we show that among all 2 dimensional shapes the optimal design
choice that maximizes information rate is the circular-shaped channel.Comment: accepted for publication in IEEE Transactions on Nanotechnolog
Molecular Communication Using Brownian Motion with Drift
Inspired by biological communication systems, molecular communication has
been proposed as a viable scheme to communicate between nano-sized devices
separated by a very short distance. Here, molecules are released by the
transmitter into the medium, which are then sensed by the receiver. This paper
develops a preliminary version of such a communication system focusing on the
release of either one or two molecules into a fluid medium with drift. We
analyze the mutual information between transmitter and the receiver when
information is encoded in the time of release of the molecule. Simplifying
assumptions are required in order to calculate the mutual information, and
theoretical results are provided to show that these calculations are upper
bounds on the true mutual information. Furthermore, optimized degree
distributions are provided, which suggest transmission strategies for a variety
of drift velocities.Comment: 20 pages, 7 figures, Accepted for publication in IEEE Trans. on
NanoBioscienc
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