Diffusion-Based Noise Analysis for Molecular Communication in Nanonetworks

By Massimiliano Pierobon, Ian F. Akyildiz. IEEE Transactions on Signal Processing, 2011

346 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/5885ab412e51e4d611b52d7d1d435fae4b757c83

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. Andrew W. Eckford
5. Nariman Farsad
6. Chan-Byoung Chae
7. Weisi Guo
8. Josep Miquel Jornet

In Molecular Biology

1. Ian F. Akyildiz
2. Massimiliano Pierobon
3. Huseyin Birkan Yilmaz
4. Nariman Farsad
5. Shuai Nie
6. Ahan Kak
7. Josep Miquel Jornet

Citations in the corpus

• A Comprehensive Survey of Recent Advancements in Molecular Communication (2014, background): “Therefore, in [189] a more realistic model of continuous diffusion based MC channel was proposed by considering the discrete nature of the number of information particles and randomness of the diffusion propagation.”
• Capacity of a Diffusion-Based Molecular Communication System With Channel Memory and Molecular Noise (2013, methodology): “…at the receiver given a value for the received signal per time sample through the formula: (37) With the goal of having a closed-form expression for this probability density, we use the following assumptions, with reference to our previous work on the diffusion noise in MC systems [32].”