activity
20172026
most citedImpact of Power Consumption Models on the Energy Efficiency of Downlink NOMA Systems

3 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

Head Count: Privacy-Preserving Face-Based Crowd Monitoring

Fatemeh Marzani, Thijs van Ede, Geert Heijenk +1

An important aspect of crowd monitoring is knowing how many people we are dealing with. Sometimes, knowing the size of a crowd in a single location and at a specific moment is enou…

cs.NI2023★ 3 cited

Impact of Power Consumption Models on the Energy Efficiency of Downlink NOMA Systems

Syllas R. C. Magalhaes, Suzan Bayhan, Geert Heijenk

While non-orthogonal multiple access (NOMA) improves spectral efficiency, it results in a complexity at the receivers due to successive interference cancellation (SIC). Prior studi…

cs.LG2022

Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times

Jesper C. Provoost, Andreas Kamilaris, Gyözö Gidófalvi +2

In ridepooling systems with electric fleets, charging is a complex decision-making process. Most electric vehicle (EV) taxi services require drivers to make egoistic decisions, lea…

eess.SY2019

Stochastic String Stability of Vehicle Platoons via Cooperative Adaptive Cruise Control with Lossy Communication

Francesco Acciani, Paolo Frasca, Geert Heijenk +1

This paper is about obtaining stable vehicle platooning by using Cooperative Adaptive Cruise Control when the communication is unreliable and suffers from message losses. We model…

cs.NI2018★ 1 cited

A Distributed Routing Algorithm for Internet-wide Geocast

Bernd Meijerink, Mitra Baratchi, Geert Heijenk

Geocast is the concept of sending data packets to nodes in a specified geographical area instead of nodes with a specific address. To route geocast messages to their destination we…

cs.AI2017★ 1 cited

Spaceprint: a Mobility-based Fingerprinting Scheme for Public Spaces

Mitra Baratchi, Geert Heijenk, Maarten van Steen

In this paper, we address the problem of how automated situation-awareness can be achieved by learning real-world situations from ubiquitously generated mobility data. Without sema…