Coding in diffusion-based molecular nanonetworks: A comprehensive survey
Diffusion-based molecular nanonetworks exploit the diffusion of molecules, eg, in free space
or in blood vessels, for the purpose of communication. This article comprehensively surveys …
or in blood vessels, for the purpose of communication. This article comprehensively surveys …
Signal detection for molecular communication: Model-based vs. data-driven methods
Multi-scale molecular communication (MC) employs the characteristics of information
molecules for information exchange. The received signal in MC inevitably encounters …
molecules for information exchange. The received signal in MC inevitably encounters …
Explainability of neural networks for symbol detection in molecular communication channels
Recent molecular communication (MC) research suggests machine learning (ML) models
for symbol detection, avoiding the unfeasibility of end-to-end channel models. However, ML …
for symbol detection, avoiding the unfeasibility of end-to-end channel models. However, ML …
Machine learning in nano-scale biomedical engineering
AAA Boulogeorgos, SE Trevlakis… - … , Biological and Multi …, 2020 - ieeexplore.ieee.org
Machine learning (ML) empowers biomedical systems with the capability to optimize their
performance through modeling of the available data extremely well, without using strong …
performance through modeling of the available data extremely well, without using strong …
Age of information in molecular communication channels
Molecular communication (MC) is gaining increasing popularity for data communication
between nano systems. First applications both in the biomedical and the industrial domain …
between nano systems. First applications both in the biomedical and the industrial domain …
Nanosensor networks for smart health care
Advent of nanoscale sensors has paved the way for countless applications envisioned in the
concept of a Smart City. In this chapter, we are focusing on one of the most fundamental …
concept of a Smart City. In this chapter, we are focusing on one of the most fundamental …
Design of communication systems using deep learning: A variational inference perspective
Recent research in the design of end to end communication system using deep learning has
produced models which can outperform traditional communication schemes. Most of these …
produced models which can outperform traditional communication schemes. Most of these …
Performance evaluation of mobile molecular communication system using neural network detector
AK Shrivastava, D Das… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
This letter proposes a neural network (NN) detector for mobile molecular communication
(MMC). The NN uses Broyden-Fletcher-Goldfarb-Shanno (BFGS), and Levenberg …
(MMC). The NN uses Broyden-Fletcher-Goldfarb-Shanno (BFGS), and Levenberg …
K-means clustering-aided non-coherent detection for molecular communications
In this paper, we consider non-coherent detection schemes for molecular communication
systems in the presence of inter-symbol-interference. In particular, we study non-coherent …
systems in the presence of inter-symbol-interference. In particular, we study non-coherent …
Epidemic-like calcium signaling in mobile molecular communication networks
P He, M Su, Y Cui, D Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Molecular Communication is an emerging technology enabling communications in nano-
networks. Ca 2+ signal is one promising option of MC due to the important role in bio …
networks. Ca 2+ signal is one promising option of MC due to the important role in bio …