CSI Quantization for FDD Massive MIMO Communication

Roope Vehkalahti*, Jialing Liao, Tefjol Pllaha, Wei Han, Olav Tirkkonen

*Corresponding author for this work

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

3 Citations (Scopus)
147 Downloads (Pure)


We consider high-dimensional multiuser MIMO transmissions in Frequency Division Duplexing systems. For precoding, the frequency selective channel has to be measured, quantized and fed back to the base station by the users. In
5G New Radio (NR), a modular quantization approach has been applied for this, where first a low-dimensional subspace is identified for the whole frequency selective channel, and then subband channels are linearly mapped to this subspace and quantized. We analyze how the components in such a modular
scheme contribute to the overall quantization distortion. Based on this analysis we improve the technology components in the modular approach. We compare the improved quantization scheme to the 5G NR standardized version by simulation in a scenario with a realistic spatial channel model. The improvements lead to a more than 25% improvement in spectral efficiency.
Original languageEnglish
Title of host publicationProceedings of 93rd IEEE Vehicular Technology Conference, VTC 2021
Number of pages5
ISBN (Electronic)978-1-7281-8964-2
Publication statusPublished - 15 Jun 2021
MoE publication typeA4 Conference publication
EventIEEE Vehicular Technology Conference - Helsinki, Finland
Duration: 25 Apr 202128 Apr 2021
Conference number: 93

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1090-3038
ISSN (Electronic)2577-2465


ConferenceIEEE Vehicular Technology Conference
Abbreviated titleVTC-Spring


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