Inscribed Matter Communication: Part I

Rose, Christopher; Mian, I. Saira

doi:10.1109/tmbmc.2017.2655025

Cited by 35 publications

(38 citation statements)

References 65 publications

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“…is defined in (17). Finally we note that there are 2 L−1 "middle" constellation points, thus the over all probability of error is 2 L −1 2 L−1 times the one stated in (16) (with the proper∆ and θ M (∆)).…”

Section: Non-binary Constellationsmentioning

confidence: 84%

“…For instance, in EM communication the symbol duration is fixed, while in MC the symbol duration is often a random variable (RV). Therefore, information particles may arrive out-of-order, which makes correctly detecting particles in the order in which they were transmitted very challenging, in particular when the transmitted information particles are indistinguishable [16], [17], [18].…”

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confidence: 99%

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Optimal Detection for One-Shot Transmission Over Diffusion-Based Molecular Timing Channels

Murin

Farsad

Chowdhury

et al. 2018

IEEE Trans. Mol. Biol. Multi-Scale Commun.

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This work studies optimal detection for communication over diffusion-based molecular timing (DBMT) channels. The transmitter simultaneously releases multiple information particles, where the information is encoded in the time of release. The receiver decodes the transmitted information based on the random time of arrival of the information particles, which is modeled as an additive noise channel. For a DBMT channel without flow, this noise follows the Lévy distribution. Under this channel model, the maximum-likelihood (ML) detector is derived and shown to have high computational complexity. It is also shown that under ML detection, releasing multiple particles improves performance, while for any additive channel with αstable noise where α < 1 (such as the DBMT channel), under linear processing at the receiver, releasing multiple particles degrades performance relative to releasing a single particle. Hence, a new low-complexity detector, which is based on the first arrival (FA) among all the transmitted particles, is proposed. It is shown that for a small number of released particles, the performance of the FA detector is very close to that of the ML detector. On the other hand, error exponent analysis shows that the performance of the two detectors differ when the number of released particles is large.

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Section: Non-binary Constellationsmentioning

confidence: 84%

mentioning

confidence: 99%

Optimal Detection for One-Shot Transmission Over Diffusion-Based Molecular Timing Channels

Murin

Farsad

Chowdhury

et al. 2018

IEEE Trans. Mol. Biol. Multi-Scale Commun.

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“…2) Timing-based Receivers: In the MC literature, timing channels have been used as a model for non-recurrent receivers [95], [98], [99], [96], [97]. Let T rls denote the vector containing the release times of the molecules by the transmitter and let T arv be the vector containing the respective arrival times of the molecules at the receiver.…”

Section: A Unified Signal Definitionmentioning

confidence: 99%

“…where T dly is a vector containing the random delays between the release of the molecules by the transmitter and their observation at the receiver. Moreover, it is typically assumed that the release, propagation, and reception of molecules are independent from each other, which we refer to as the independent molecule behavior assumption [98], [99]. Based on this assumption, the elements in T dly are independent and identically distributed and assume only non-negative real values.…”

Section: A Unified Signal Definitionmentioning

confidence: 99%

Channel Modeling for Diffusive Molecular Communication—A Tutorial Review

et al. 2019

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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 timevarying 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 experimentallydriven channel models. Finally, we provide a detailed discussion of potential challenges, open research problems, and future directions in channel modeling for diffusive MC systems.

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“…When the diffusion is accompanied by a drift, this additive noise follows the inverse Gaussian (IG) distribution [7], [8]. In the model studied in [9], the additive noise representing the propagation of the tokens follows an exponential distribution. The exponential delay can represent systems with chemical reactions that cause the particles to decay quickly [16].…”

Section: Introductionmentioning

confidence: 99%

Diversity Gain of One-Shot Communication over Molecular Timing Channels

Murin

Chowdhury

Farsad

et al. 2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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We study diversity in one-shot communication over molecular timing channels. In the considered channel model the transmitter simultaneously releases a large number of information particles, where the information is encoded in the time of release. The receiver decodes the information based on the random time of arrival of the information particles. We characterize the asymptotic exponential decrease rate of the probability of error as a function of the number of released particles. We denote this quantity as the system diversity gain, as it depends both on the number of particles transmitted as well as the receiver detection method. Three types of detectors are considered: the maximumlikelihood (ML) detector, a linear detector, and a detector that is based on the first arrival (FA) among all the transmitted particles. We show that for random propagation characterized by right-sided unimodal densities with zero mode, the FA detector is equivalent to the ML detector, and significantly outperforms the linear detector. Moreover, even for densities with positive mode, the diversity gain achieved by the FA detector is very close to that achieved by the ML detector and much higher than the gain achieved by the linear detector.

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Inscribed Matter Communication: Part I

Cited by 35 publications

References 65 publications

Optimal Detection for One-Shot Transmission Over Diffusion-Based Molecular Timing Channels

Optimal Detection for One-Shot Transmission Over Diffusion-Based Molecular Timing Channels

Channel Modeling for Diffusive Molecular Communication—A Tutorial Review

Diversity Gain of One-Shot Communication over Molecular Timing Channels

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