Molecular Communication in Fluid Media: The Additive Inverse Gaussian Noise Channel
By Kothapalli Venkata Srinivas, Andrew W. Eckford, Raviraj S. Adve. IEEE Transactions on Information Theory, 2010
388 citations recorded by the source corpus.
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 follows an IG distribution. We show that such a channel model is appropriate for molecular communication in fluid media. Taking advantage of the available literature on the IG distribution, upper and lower bounds on channel capacity are developed, and a maximum likelihood receiver is derived. Results are presented which suggest that this channel does not have a single quality measure analogous to signal-to-noise ratio in the additive white Gaussian noise channel. It is also shown that the use of multiple molecules leads to reduced error rate in a manner akin to diversity order in wireless communications. Finally, some open problems are discussed that arise from the IG channel model.
Subfields: Biomedical Engineering, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/b49b30e92d6e68e2eb93e91270d843c45485d7f5
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In Biomedical Engineering
- Nariman Farsad
- Robert Schober
- Athanasios V. Vasilakos
- Andrew W. Eckford
- Chan-Byoung Chae
- Weisi Guo
- Huseyin Birkan Yilmaz
In Molecular Biology
Citations in the corpus
- A Comprehensive Survey of Recent Advancements in Molecular Communication (2014, methodology): “In [34], it was shown that such a channel, employing time of release modulation, could be modeled with an additive inverse Gaussian noise”
- Channel Modeling for Diffusive Molecular Communication—A Tutorial Review (2018, methodology): “In addition, perfect synchronization is a key underlying assumption for most timing channels considered in the literature [95], [96], [97], [98], [99], [100] and hence the performance of timing receivers is very sensitive to synchronization errors.”
- Molecular Communication and Networking: Opportunities and Challenges (2012, background): “In this case, information can be represented by modulating the amplitude, frequency, phase, or other aspects of the concentration or the number of the molecule [17], [20], [21], [26], [56], [57], [58], [67], [70]–[72].”