258 research outputs found
Molecular Signal Modeling of a Partially Counting Absorbing Spherical Receiver
To communicate at the nanoscale, researchers have proposed molecular
communication as an energy-efficient solution. The drawback to this solution is
that the histogram of the molecules' hitting times, which constitute the
molecular signal at the receiver, has a heavy tail. Reducing the effects of
this heavy tail, inter-symbol interference (ISI), has been the focus of most
prior research. In this paper, a novel way of decreasing the ISI by defining a
counting region on the spherical receiver's surface facing towards the
transmitter node is proposed. The beneficial effect comes from the fact that
the molecules received from the back lobe of the receiver are more likely to be
coming through longer paths that contribute to ISI. In order to justify this
idea, the joint distribution of the arrival molecules with respect to angle and
time is derived. Using this distribution, the channel model function is
approximated for the proposed system, i.e., the partially counting absorbing
spherical receiver. After validating the channel model function, the
characteristics of the molecular signal are investigated and improved
performance is presented. Moreover, the optimal counting region in terms of bit
error rate is found analytically.Comment: submitted to Transactions on Communication
Effect of receiver shape and volume on the Alzheimer disease for molecular communication via diffusion
The work of I. Isik and M. E. Tagluk was supported by the Inonu University Project of Scientific Research Unit (BAP) under the project number FBA-2018-1013. The authors thank HP Turkey section for providing a powerful computer for computational tasks in this study. The work of H.B. Yilmaz is supported by the Scientific and Technical Research Council of Turkey (TUBITAK) under grant no. 118C274. The work of I. Demirkol was supported by the Spanish Government, MINECO, through project RYC-2013-13029Peer ReviewedPostprint (published version
Channel Modeling for Diffusive Molecular Communication - A Tutorial Review
Molecular communication (MC) is a new communication engineering paradigm
where molecules are employed as information carriers. MC systems are expected
to enable new revolutionary applications such as sensing of target substances
in biotechnology, smart drug delivery in medicine, and monitoring of oil
pipelines or chemical reactors in industrial settings. As for any other kind of
communication, simple yet sufficiently accurate channel models are needed for
the design, analysis, and efficient operation of MC systems. In this paper, we
provide a tutorial review on mathematical channel modeling for diffusive MC
systems. The considered end-to-end MC channel models incorporate the effects of
the release mechanism, the MC environment, and the reception mechanism on the
observed information molecules. Thereby, the various existing models for the
different components of an MC system are presented under a common framework and
the underlying biological, chemical, and physical phenomena are discussed.
Deterministic models characterizing the expected number of molecules observed
at the receiver and statistical models characterizing the actual number of
observed molecules are developed. In addition, we provide channel models for
time-varying MC systems with moving transmitters and receivers, which are
relevant for advanced applications such as smart drug delivery with mobile
nanomachines. For complex scenarios, where simple MC channel models cannot be
obtained from first principles, we investigate simulation-driven and
experimentally-driven channel models. Finally, we provide a detailed discussion
of potential challenges, open research problems, and future directions in
channel modeling for diffusive MC systems.Comment: 40 pages; 23 figures, 2 tables; this paper is submitted to the
Proceedings of IEE
Molecular communication networks with general molecular circuit receivers
In a molecular communication network, transmitters may encode information in
concentration or frequency of signalling molecules. When the signalling
molecules reach the receivers, they react, via a set of chemical reactions or a
molecular circuit, to produce output molecules. The counts of output molecules
over time is the output signal of the receiver. The aim of this paper is to
investigate the impact of different reaction types on the information
transmission capacity of molecular communication networks. We realise this aim
by using a general molecular circuit model. We derive general expressions of
mean receiver output, and signal and noise spectra. We use these expressions to
investigate the information transmission capacities of a number of molecular
circuits
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