English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper focuses on molecular communication (MC) systems using two types ofsignaling molecules which may participate in a reversible bimolecular reactionin the channel. The motivation for studying these MC systems is that they canrealize the concept of constructive and destructive signal superposition, whichleads to favorable properties such as inter-symbol interference (ISI) reductionand avoiding environmental contamination due to continuous release of signalingmolecules into the channel. This work first presents a general formulation forbinary modulation schemes that employ two types of signaling molecules andproposes several modulation schemes as special cases. Moreover, two types ofreceivers are considered: a receiver that is able to observe both types ofsignaling molecules (2TM), and a simpler receiver that can observe only onetype of signaling molecules (1TM). For both of these receivers, the maximumlikelihood (ML) detector for general binary modulation is derived under theassumption that the detector has perfect knowledge of the ISI-causing sequence.In addition, two suboptimal detectors of different complexity are proposed,namely an ML-based detector that employs an estimate of the ISI-causingsequence and a detector that neglects the effect of ISI. The proposeddetectors, except for the detector that neglects ISI for the 2TM receiver,require knowledge of the channel response (CR) of the considered MC system.Moreover, the CR is needed for performance evaluation of all proposeddetectors. However, deriving the CR of MC systems with reactive signalingmolecules is challenging since the underlying partial differential equationsthat describe the reaction-diffusion mechanism are coupled and non-linear.Therefore, we develop an algorithm for efficient computation of the CR andvalidate its accuracy via particle-based simulation.

Diffusive Molecular Communications with Reactive Molecules: Channel Modeling and Signal Design