Improving Channel Charting with Representation-Constrained Autoencoders

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

  • Pengzhi Huang
  • Oscar Castaneda
  • Emre Gonultas
  • Sa Id Medjkouh
  • Olav Tirkkonen
  • Tom Goldstein
  • Christoph Studer

Organisaatiot

  • Cornell University
  • University of Maryland, College Park

Kuvaus

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-state information (CSI). CC relies on dimensionality reduction of high-dimensional CSI features in order to construct a channel chart that captures spatial and radio geometries so that UEs close in space are close in the channel chart. In this paper, we demonstrate that autoencoder (AE)-based CC can be augmented with side information that is obtained during the CSI acquisition process. More specifically, we propose to include pairwise representation constraints into AEs with the goal of improving the quality of the learned channel charts. We show that such representation-constrained AEs recover the global geometry of the learned channel charts, which enables CC to perform approximate positioning without global navigation satellite systems or supervised learning methods that rely on extensive and expensive measurement campaigns.

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
TilaJulkaistu - 1 heinäkuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIEEE International Workshop on Signal Processing Advances in Wireless Communications - Cannes, Ranska
Kesto: 2 heinäkuuta 20195 heinäkuuta 2019
Konferenssinumero: 20

Julkaisusarja

NimiIEEE International Workshop on Signal Processing Advances in Wireless Communications
ISSN (painettu)2325-3789
ISSN (elektroninen)1948-3252

Workshop

WorkshopIEEE International Workshop on Signal Processing Advances in Wireless Communications
LyhennettäSPAWC
MaaRanska
KaupunkiCannes
Ajanjakso02/07/201905/07/2019

ID: 37223859