5 papers
Neural Positioning Without External Reference
Till-Yannic Müller, Frederik Zumegen, Reinhard Wiesmayr +2
Channel state information (CSI)-based user equipment (UE) positioning with neural networks -- referred to as neural positioning -- is a promising approach for accurate off-device U…
Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer
Brian Rappaport, Emre Gönültaş, Jakob Hoydis +3
Channel charting is an emerging technology that enables self-supervised pseudo-localization of user equipments by performing dimensionality reduction on large channel-state informa…
Identifying Unused RF Channels Using Least Matching Pursuit
Emre Gönültaş, Milad Taghavi, Sweta Soni +2
Cognitive radio aims at identifying unused radio-frequency (RF) bands with the goal of re-using them opportunistically for other services. While compressive sensing (CS) has been u…
Improving Channel Charting with Representation-Constrained Autoencoders
Pengzhi Huang, Oscar Castañeda, Emre Gönültaş +4
Channel charting (CC) has been proposed recently to enable logical positioning of user equipments (UEs) in the neighborhood of a multi-antenna base-station solely from channel-stat…
Channel Charting: Locating Users within the Radio Environment using Channel State Information
Christoph Studer, Saïd Medjkouh, Emre Gönültaş +2
We propose channel charting (CC), a novel framework in which a multi-antenna network element learns a chart of the radio geometry in its surrounding area. The channel chart capture…