Noise Analysis in Ligand-Binding Reception for Molecular Communication in Nanonetworks

@article{Pierobon2011NoiseAI,
  title={Noise Analysis in Ligand-Binding Reception for Molecular Communication in Nanonetworks},
  author={Massimiliano Pierobon and Ian F. Akyildiz},
  journal={IEEE Transactions on Signal Processing},
  year={2011},
  volume={59},
  pages={4168-4182}
}
Molecular communication (MC) will enable the exchange of information among nanoscale devices. In this novel bio-inspired communication paradigm, molecules are employed to encode, transmit and receive information. In the most general case, these molecules are propagated in the medium by means of free diffusion. An information theoretical analysis of diffusion-based MC is required to better understand the potential of this novel communication mechanism. The study and the modeling of the noise… 
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Maximum Likelihood Detection With Ligand Receptors for Diffusion-Based Molecular Communications in Internet of Bio-Nano Things
TLDR
A Maximum Likelihood (ML) detection method based on instantaneous receptor occupation ratio, as aligned with the current MC literature is introduced and a novel ML detection technique is proposed, which exploits the amount of time the receptors stay unbound in an observation time window.
N3Sim: Simulation framework for diffusion-based molecular communication nanonetworks
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On Receiver Design for Diffusion-Based Molecular Communication
TLDR
Numerical results indicate that the proposed signal processing technique followed by the one-shot detector achieves near-optimal throughput without the need of a priori information in both short-range and long-range diffusion-based communication scenarios, which suggests an ML sequence detector is not necessary.
Transmission of nanoscale information-based neural communication-aware ligand–receptor interactions
TLDR
An analytical framework for modeling the transmission of nanoscale information in nanonetwork-based molecular communication and aware of ligand-receptor interactions is developed and it is revealed that it is necessary to take into account the ligand–receptor interaction for more realistic realization of the nanoscales information transmission.
Capacity of a Diffusion-Based Molecular Communication System With Channel Memory and Molecular Noise
TLDR
A closed-form expression for the information capacity of an MC system based on the free diffusion of molecules, which is of primary importance to understand the performance of the MC paradigm.
Modeling and Analysis of SiNW FET-Based Molecular Communication Receiver
TLDR
A comprehensive model for silicon nanowire FET-based MC receivers is introduced by integrating the underlying processes in MC and bioFET to provide a unified analysis framework and reveals the effects of individual system parameters on the detection performance of the proposed MC receiver.
Channel capacity analysis of a diffusion‐based molecular communication system with ligand receptors
TLDR
A digital channel model based on the on–off keying and time slot scheme is established, which establishes a capacity expression derived with consideration of the effects of the channel memory and ligand‐receptor binding mechanisms.
Exploring the Impact of Ligand Residence Time on Molecular Communication System Performance
Information reception in artificially synthesized molecular communication (MC) systems ideally follows the mechanisms employed by natural nanosystems to communicate. One of such reception mechanism…
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