Time-slotted transmission over molecular timing channels

Murin, Yonathan; Farsad, Nariman; Chowdhury, Mainak; Goldsmith, Andrea

doi:10.1016/j.nancom.2017.01.005

Cited by 20 publications

(22 citation statements)

References 35 publications

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“…but the constrained optimization problem is withC ≥ 0 for entries. Sub-optimal solution for (19) is again by setting all the negative entries to zero [22]. In spite of simplicity, for K large there exist a stationary point, and for small K the performance loss is very negligible as shown numerically in Section VI.…”

Section: Least Squares Cir Estimatormentioning

confidence: 99%

Diffusive MIMO Molecular Communications: Channel Estimation, Equalization, and Detection

Rouzegar

Spagnolini

2019

IEEE Trans. Commun.

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In diffusion-based communication, as for molecular systems, the achievable data rate depends on the stochastic nature of diffusion which exhibits a severe inter-symbol-interference (ISI). Multiple-Input Multiple-Output (MIMO) multiplexing improves the data rate at the expense of an inter-link interference (ILI). This paper investigates training-based channel estimation schemes for diffusive MIMO (D-MIMO) systems and corresponding equalization methods. Maximum likelihood and leastsquares estimators of mean channel are derived, and the training sequence is designed to minimize the mean square error (MSE). Numerical validations in terms of MSE are compared with Cramér-Rao bound derived herein. Equalization is based on decision feedback equalizer (DFE) structure as this is effective in mitigating diffusive ISI/ILI. Zero-forcing, minimum MSE and least-squares criteria have been paired to DFE, and their performances are evaluated in terms of bit error probability. D-MIMO time interleaving is exploited as an additional countermeasure to mitigate the ILI with remarkable performance improvements. The configuration of nano-transceivers is not static, but affected by a Brownian motion. A block-type communication is proposed for D-MIMO channel estimation and equalization, the corresponding time-varying D-MIMO MC system is evaluated numerically.

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Section: Least Squares Cir Estimatormentioning

confidence: 99%

Diffusive MIMO Molecular Communications: Channel Estimation, Equalization, and Detection

Rouzegar

Spagnolini

2019

IEEE Trans. Commun.

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“…A4) There is no inter-symbol interference (ISI) between consecutive channel uses. 1 In practice this assumption can be satisfied if the time between consecutive channel uses is large enough or if chemical reactions are used to dissipate 1 In [25] we study communication over DBMT channels in the presence of ISI.…”

Section: System Modelsmentioning

confidence: 99%

“…In this work, we propose two asynchronous timing-based modulation techniques and compare them with the synchronized timing modulation considered in prior work [25]- [27]. These systems can be represented by an additive noise channel, and for diffusion-based MT (DBMT) systems in a 1dimensional environment the noise falls in the stable distribution family [28].…”

Section: Introductionmentioning

confidence: 99%

Communication System Design and Analysis for Asynchronous Molecular Timing Channels

Farsad

Murin

Guo

et al. 2017

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

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Two new asynchronous modulation techniques for molecular timing (MT) channels are proposed. One based on modulating information on the time between two consecutive releases of indistinguishable information particles, and one based on using distinguishable particles. For comparison, we consider the synchronized modulation scheme where information is encoded in the time of release and decoded from the time of arrival of particles. We show that all three modulation techniques result in a system that can be modeled as an additive noise channel, and we derive the expression for the probability density function of the noise. Next, we focus on binary communication and derive the associated optimal detection rules for each modulation. Since the noise associated with these modulations has an infinite variance, geometric power is used as a measure for the noise power, and we derive an expression for the geometric SNR (G-SNR) for each modulation scheme. Numerical evaluations indicate that for these systems the bit error rate (BER) is constant at a given G-SNR, similar to the relation between BER and SNR in additive Gaussian noise channels. We also demonstrate that the asynchronous modulation based on two distinguishable particles can achieve a BER performance close to the synchronized modulation scheme.

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“…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].…”

mentioning

confidence: 99%

“…This gives rise to ISI. In the works [18], [28] we designed a sequence detector for time-slotted transmission over DBMT channels without flow, when a single information particle is used per symbol. In this work, on the other hand, we focus on systems for which the ISI is negligible and multiple information particles are used to modulate a symbol.…”

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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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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Time-slotted transmission over molecular timing channels

Cited by 20 publications

References 35 publications

Diffusive MIMO Molecular Communications: Channel Estimation, Equalization, and Detection

Diffusive MIMO Molecular Communications: Channel Estimation, Equalization, and Detection

Communication System Design and Analysis for Asynchronous Molecular Timing Channels

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

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