Molecular Communication in Fluid Media: The Additive Inverse Gaussian Noise Channel

@article{Srinivas2012MolecularCI,
  title={Molecular Communication in Fluid Media: The Additive Inverse Gaussian Noise Channel},
  author={Kothapalli V. Srinivas and Andrew W. Eckford and Raviraj S. Adve},
  journal={IEEE Transactions on Information Theory},
  year={2012},
  volume={58},
  pages={4678-4692}
}
In this paper, we consider molecular communication, with information conveyed in the time of release of molecules. These molecules propagate to the transmitter through a fluid medium, propelled by a positive drift velocity and Brownian motion. The main contribution of this paper is the development of a theoretical foundation for such a communication system; specifically, the additive inverse Gaussian noise (AIGN) channel model. In such a channel, the information is corrupted by noise that… 
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References

SHOWING 1-10 OF 55 REFERENCES
Molecular Communication Using Brownian Motion With Drift
TLDR
This paper develops a preliminary version of molecular communication focusing on the release of either one or two molecules into a fluid medium with drift, and analyzes the mutual information between transmitter and the receiver when information is encoded in the time of release of the molecule.
The Diffusion Mediated Biochemical Signal Relay Channel
Biochemical signal-transduction networks are the biological information-processing systems by which individual cells, from neurons to amoebae, perceive and respond to their chemical environments. We
The Diffusion-Limited Biochemical Signal-Relay Channel
TLDR
A simplified model of a single biochemical relay is introduced and its capacity as a communications channel with non-Gaussian noise is estimated using a water-filling formula adapted from the additive white-noise Gaussian channel.
Molecular communication: Physically realistic models and achievable information rates
TLDR
This paper gives sequences of upper and lower bounds on the mutual information which trade off complexity and performance, and presents results to illustrate the feasibility of these bounds in estimating the true mutual information.
Design and Analysis of Molecular Relay Channels: An Information Theoretic Approach
TLDR
The method employed and results presented in this paper may help elucidate design principles of biological systems as well as help in the design and engineering of synthetic biological systems from the perspective of information theory.
Molecular Communication: Modeling Noise Effects on Information Rate
TLDR
This paper describes the design of an in vitro molecular communication system and evaluates various approaches to maximize the probability of information molecules reaching a receiver(s) and the rate of information reaching the receiver (s).
A physical end-to-end model for molecular communication in nanonetworks
TLDR
A new physical end-to-end (including the channel) model for molecular communication is introduced, which is related to a specific process involving particle exchanges, namely, particle emission, particle diffusion and particle reception.
An information theoretical approach for molecular communication
  • B. Atakan, Ö. Akan
  • Computer Science
    2007 2nd Bio-Inspired Models of Network, Information and Computing Systems
  • 2007
TLDR
Numerical results show that selecting appropriate molecular communication parameters such as temperature of environment, concentration of emitted molecules, distance between nanomachines and duration of molecule emission, it can be possible to achieve maximum capacity for the molecular communication channel between two nanomachine.
Capacity bounds for power- and band-limited optical intensity channels corrupted by Gaussian noise
TLDR
The bounds show that, at high optical SNRs, pulse sets based on raised-quadrature amplitude modulation (QAM) and prolate spheroidal wave functions have larger achievable maximum spectral efficiencies than traditional rectangular pulse basis sets.
Single and Multiple-Access Channel Capacity in Molecular Nanonetworks
TLDR
Using the principles of natural ligand-receptor binding mechanisms in biology, a capacity expression is derived for single molecular channel in which a single Transmitter Nanomachine (TN) communicates with a single Receiver Nanomachines (RN).
...
1
2
3
4
5
...