6 citations · 14 across the 10 of their papers we have counts for
14 papers
Analytical Modeling of Dispersive Closed-loop MC Channels with Pulsatile Flow
Theofilos Symeonidis, Fardad Vakilipoor, Robert Schober +2
Molecular communication (MC) is a communication paradigm in which information is conveyed through the controlled release, propagation, and reception of molecules. Many envisioned h…
Autoencoder-based Optimization of Multi-user Molecule Mixture Communication Systems
Bastian Heinlein, Nuria Zurita Jiménez, Kaikai Zhu +4
In this paper, we introduce an autoencoder (AE)-based scheme for end-to-end optimization of a multi-user molecule mixture communication system. In the proposed scheme, each transmi…
Inferring the Chemotaxis Distortion Function from Cellular Decision Strategies
Fardad Vakilipoor, Johannes Konrad, Maximilian Schäfer
Cellular intelligence enables cells to process environmental signals and make context-dependent decisions, as exemplified by chemotaxis, where cells navigate chemical gradients des…
MC for Agriculture: A Framework for Nature-inspired Sustainable Pest Control
Fardad Vakilipoor, Nora Hirschmann, Julian Schladt +5
In agriculture, molecular communication (MC) is envisioned as a framework to address critical challenges such as smart pest control. While conventional approaches mostly rely on sy…
LMFormer: Lane based Motion Prediction Transformer
Harsh Yadav, Maximilian Schaefer, Kun Zhao +1
Motion prediction plays an important role in autonomous driving. This study presents LMFormer, a lane-aware transformer network for trajectory prediction tasks. In contrast to prev…
CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention
Harsh Yadav, Maximilian Schaefer, Kun Zhao +1
Motion prediction is an important aspect for Autonomous Driving (AD) and Advance Driver Assistance Systems (ADAS). Current state-of-the-art motion prediction methods rely on High D…
Physical Modeling using Recurrent Neural Networks with Fast Convolutional Layers
Julian D. Parker, Sebastian J. Schlecht, Rudolf Rabenstein +1
Discrete-time modeling of acoustic, mechanical and electrical systems is a prominent topic in the musical signal processing literature. Such models are mostly derived by discretizi…
Context-Aware Scene Prediction Network (CASPNet)
Maximilian Schäfer, Kun Zhao, Markus Bühren +1
Predicting the future motion of surrounding road users is a crucial and challenging task for autonomous driving (AD) and various advanced driver-assistance systems (ADAS). Planning…
Area Rate Efficiency in Multi-Link Molecular Communications
Lukas Brand, Sebastian Lotter, Vahid Jamali +2
We consider a multi-link diffusion-based molecular communication (MC) system where multiple spatially distributed transmitter (TX)-receiver (RX) pairs establish point-to-point comm…
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…
Receptor Saturation Modeling for Synaptic DMC
Sebastian Lotter, Maximilian Schäfer, Johannes Zeitler +1
Synaptic communication is a natural Molecular Communication (MC) system which may serve as a blueprint for the design of synthetic MC systems. In particular, it features highly spe…
Transfer Function Models for Cylindrical MC Channels with Diffusion and Laminar Flow
Maximilian Schäfer, Wayan Wicke, Lukas Brand +2
The analysis and design of advection-diffusion based molecular communication (MC) systems in cylindrical environments is of particular interest for applications such as micro-fluid…
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…