20,567 research outputs found
A Unifying Model for External Noise Sources and ISI in Diffusive Molecular Communication
This paper considers the impact of external noise sources, including
interfering transmitters, on a diffusive molecular communication system, where
the impact is measured as the number of noise molecules expected to be observed
at a passive receiver. A unifying model for noise, multiuser interference, and
intersymbol interference is presented, where, under certain circumstances,
interference can be approximated as a noise source that is emitting
continuously. The model includes the presence of advection and molecule
degradation. The time-varying and asymptotic impact is derived for a series of
special cases, some of which facilitate closed-form solutions. Simulation
results show the accuracy of the expressions derived for the impact of a
continuously-emitting noise source, and show how approximating intersymbol
interference as a noise source can simplify the calculation of the expected bit
error probability of a weighted sum detector.Comment: 14 pages, 7 figures, 4 tables, 1 appendix. To appear in IEEE Journal
on Selected Areas in Communications (JSAC). Submitted October 21, 2013,
revised April 21, 2014, accepted June 3, 201
Symbol Synchronization for Diffusive Molecular Communication Systems
Symbol synchronization refers to the estimation of the start of a symbol
interval and is needed for reliable detection. In this paper, we develop a
symbol synchronization framework for molecular communication (MC) systems where
we consider some practical challenges which have not been addressed in the
literature yet. In particular, we take into account that in MC systems, the
transmitter may not be equipped with an internal clock and may not be able to
emit molecules with a fixed release frequency. Such restrictions hold for
practical nanotransmitters, e.g. modified cells, where the lengths of the
symbol intervals may vary due to the inherent randomness in the availability of
food and energy for molecule generation, the process for molecule production,
and the release process. To address this issue, we propose to employ two types
of molecules, one for synchronization and one for data transmission. We derive
the optimal maximum likelihood (ML) symbol synchronization scheme as a
performance upper bound. Since ML synchronization entails high complexity, we
also propose two low-complexity synchronization schemes, namely a peak
observation-based scheme and a threshold-trigger scheme, which are suitable for
MC systems with limited computational capabilities. Our simulation results
reveal the effectiveness of the proposed synchronization~schemes and suggest
that the end-to-end performance of MC systems significantly depends on the
accuracy of symbol synchronization.Comment: This paper has been accepted for presentation at IEEE International
Conference on Communications (ICC) 201
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