Adaptive Channel Interpolation in High-Speed Massive MIMO

Alexander Osinsky, Roman Bychkov, Andrey Ivanov, Dmitry Yarotsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we propose a new channel interpolation algorithm for Massive Multiple Input, Multiple Output (MIMO) receivers. The algorithm employs adaptive linear interpolation for each channel tap separately in the time domain. It outperforms a common spline or linear interpolation due to considering more statistics (noise power and channel sparsity). The method is validated with a practical sparse channel estimation algorithm in both antenna and beam domains of 64 antennas receiver. Simulation results are presented for users, moving with a speed of up to 160km/h in line-of-sight scenarios (car in highway, fast train, quadcopter, and many others) of 5G QuaDRiGa 2.0 channel.

Original languageEnglish
Title of host publication2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728189642
DOIs
Publication statusPublished - Apr 2021
Event93rd IEEE Vehicular Technology Conference, VTC 2021-Spring - Virtual, Online
Duration: 25 Apr 202128 Apr 2021

Publication series

NameIEEE Vehicular Technology Conference
Volume2021-April
ISSN (Print)1550-2252

Conference

Conference93rd IEEE Vehicular Technology Conference, VTC 2021-Spring
CityVirtual, Online
Period25/04/2128/04/21

Keywords

  • Channel interpolation
  • Massive MIMO

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