most cited6G White Paper on Localization and Sensing

158 citations · 263 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

ToPos: Automated Optimal Positioning on Topographic Manifolds using Constrained Geodesic Voronoi Decomposition

Rajesh Raveendran, Akseli Vanhamaa, Jaakko Suutala +2

Reliable autonomous mapping, environmental sampling, last-mile logistics, and infrastructure deployment depend on the optimal surface area-balanced distribution of Spatial Referenc…

eess.SY2020★ 158 cited

6G White Paper on Localization and Sensing

Andre Bourdoux, Andre Noll Barreto, Barend van Liempd +17

This white paper explores future localization and sensing opportunities for beyond 5G wireless communication systems by identifying key technology enablers and discussing their und…

cs.IT2020★ 94 cited

6G White Paper on Machine Learning in Wireless Communication Networks

Samad Ali, Walid Saad, Nandana Rajatheva +24

The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless communication networks will be the backbone of the digital transformation of socie…

cs.LG2020★ 11 cited

Better Classifier Calibration for Small Data Sets

Tuomo Alasalmi, Jaakko Suutala, Heli Koskimäki +1

Classifier calibration does not always go hand in hand with the classifier's ability to separate the classes. There are applications where good classifier calibration, i.e. the abi…

cs.LG2020

Better Multi-class Probability Estimates for Small Data Sets

Tuomo Alasalmi, Jaakko Suutala, Heli Koskimäki +1

Many classification applications require accurate probability estimates in addition to good class separation but often classifiers are designed focusing only on the latter. Calibra…