Adaptive initial interpolation vector setting method in iterative time-domain compression method for MIMO channel state information

Masafumi Iizuka, Kiichi Tateishi, Kenichi Higuchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we investigate adaptive settings for the initial interpolation vector in our previous iterative time-domain compression method for multiple-input multiple-output (MIMO) channel state information (CSI). The iterative MIMO-CSI compression method is based on time-domain CSI compression with frequency-domain CSI bundling and interpolation for all combinations of transmitter and receiver antennas. Previously, the method for generating the initial interpolation vector, which reuses the actual frequency-domain CSI variation, was proposed in order to take into account the periodical channel variation in the frequency domain. However, in this method, the appropriate length interpolation vector is dependent on the delay spread of the channel. In order to address this problem, this paper proposes adaptively controlling of the length of the interpolation vector based on the correlation of the CSI vector in the frequency domain. The numerical results show that the proposed method further improves the accuracy of the compressed CSI or enhances the CSI compression capability of the previous method, which assumes a fixed length for the interpolation vector.

Original languageEnglish
Title of host publication2017 23rd Asia-Pacific Conference on Communications
Subtitle of host publicationBridging the Metropolitan and the Remote, APCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781740523905
DOIs
Publication statusPublished - 27 Feb 2018
Event23rd Asia-Pacific Conference on Communications, APCC 2017 - Perth, Australia
Duration: 11 Dec 201713 Dec 2017

Publication series

Name2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017
Volume2018-January

Conference

Conference23rd Asia-Pacific Conference on Communications, APCC 2017
CountryAustralia
CityPerth
Period11/12/1713/12/17

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Iizuka, M., Tateishi, K., & Higuchi, K. (2018). Adaptive initial interpolation vector setting method in iterative time-domain compression method for MIMO channel state information. In 2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017 (pp. 1-6). (2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/APCC.2017.8304033