A physical end-to-end model for molecular communication in nanonetworks

By Massimiliano Pierobon, Ian F. Akyildiz. IEEE Journal on Selected Areas in Communications, 2010

535 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3c02abe8616bcf304765d217ebc6f569e93cfb82

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Ian F. Akyildiz
2. Huseyin Birkan Yilmaz
3. Massimiliano Pierobon
4. Tuna Tugcu
5. Mehmet Sükrü Kuran
6. Andrew W. Eckford
7. Nariman Farsad
8. Chan-Byoung Chae

In Electrical and Electronic Engineering

1. Huseyin Birkan Yilmaz
2. Tuna Tugcu
3. Mehmet Sükrü Kuran
4. Ian F. Akyildiz
5. Robert Schober
6. Massimiliano Pierobon
7. Athanasios V. Vasilakos
8. Kothapalli Venkata Srinivas

Citations in the corpus

• Channel Modeling for Diffusive Molecular Communication—A Tutorial Review (2018, background): “Passive receiver: Passive receivers (also referred to as transparent receivers or perfect monitoring receivers) employ passive reception mechanisms and are commonly considered in the MC literature, see e.g. [31], [32], [3], [33], [34], [35], [36], [37], [38], [39].”
• Molecular Communication in Fluid Media: The Additive Inverse Gaussian Noise Channel (2010, background): “, on-off keying) in [11], [12]; while communication channel m odels for molecularconcentration have been presented in [13], and mutual information calcula ted in [14].”
• Modulation Techniques for Communication via Diffusion in Nanonetworks (2011, methodology): “Different channel models have been developed and the channel capacity of this communication system has been evaluated using these models in [7], [8], and [9].”
• Molecular Communication and Networking: Opportunities and Challenges (2012, background): “Signal Amplification: Another commonly observed issue in the physical layer is the attenuation and distortion of signals [70], [71].”
• Diffusion-Based Noise Analysis for Molecular Communication in Nanonetworks (2011, background): “The particle sampling noise affects the physical end-to-end model from [17] at the transmitter.”
• A Comprehensive Survey of Recent Advancements in Molecular Communication (2014, background): “One of the first works that considered this approach was [32], where end-to-end gain (attenuation factor) and delay function were derived for continuous molecular diffusion channels with ligand receptors for detection.”