14 citations · 33 across the 12 of their papers we have counts for
7 papers · 1 filter
Controlled Signaling and Transmitter Replenishment for MC with Functionalized Nanoparticles
Maximilian Schäfer, Lukas Brand, Sebastian Lotter +6
In this paper, we propose novel Transmitter (Tx) models for Molecular Communication (MC) systems based on functionalized Nanoparticles (NPs). Current Tx models often rely on simpli…
Channel Responses for the Molecule Release from Spherical Homogeneous Matrix Carriers
Maximilian Schäfer, Yolanda Salinas, Alexander Ruderer +6
Molecular communications is a promising framework for the design of controlled-release drug delivery systems. Under this framework, drug carriers, diseased cells, and the channel a…
Channel Modeling for Drug Carrier Matrices
Maximilian Schäfer, Yolanda Salinas, Alexander Ruderer +4
Molecular communications is a promising framework for the design of controlled-release drug delivery systems. In this framework, drug carriers are modeled as transmitters, the dise…
Colour-Specific Microfluidic Droplet Detection for Molecular Communication
Max Bartunik, Marco Fleischer, Werner Haselmayr +1
Droplet-based microfluidic systems are a promising platform forlab-on-a-chip (LoC) applications. These systems can also be used toenhance LoC applications with integrated droplet c…
Spherical Diffusion Model with Semi-Permeable Boundary: A Transfer Function Approach
Maximilian Schäfer, Wayan Wicke, Werner Haselmayr +2
The derivation of suitable analytical models is an important step for the design and analysis of molecular communication systems. However, many existing models have limited applica…
Normal Inverse Gaussian Approximation for Arrival Time Difference in Flow-Induced Molecular Communications
Werner Haselmayr, Dmitry Efrosinin, Weisi Guo
In this paper, we consider molecular communications in one-dimensional flow-induced diffusion channels with a perfectly absorbing receiver. In such channels, the random propagation…
High-Accuracy and Fault Tolerant Stochastic Inner Product Design
Werner Haselmayr, Daniel Wiesinger, Michael Lunglmayr
In this work, we present a novel inner product design for stochastic computing. Stochastic computing is an emerging computing technique, that encodes a number in the probability of…