71 research outputs found
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
Capacity of Molecular Channels with Imperfect Particle-Intensity Modulation and Detection
This work introduces the particle-intensity channel (PIC) as a model for
molecular communication systems and characterizes the properties of the optimal
input distribution and the capacity limits for this system. In the PIC, the
transmitter encodes information, in symbols of a given duration, based on the
number of particles released, and the receiver detects and decodes the message
based on the number of particles detected during the symbol interval. In this
channel, the transmitter may be unable to control precisely the number of
particles released, and the receiver may not detect all the particles that
arrive. We demonstrate that the optimal input distribution for this channel
always has mass points at zero and the maximum number of particles that can be
released. We then consider diffusive particle transport, derive the capacity
expression when the input distribution is binary, and show conditions under
which the binary input is capacity-achieving. In particular, we demonstrate
that when the transmitter cannot generate particles at a high rate, the optimal
input distribution is binary.Comment: Accepted at IEEE International Symposium on Information Theory (ISIT
- …