Two-phase parameter-based separate channel estimation in RIS-aided MIMO OFDM systems

Taiyang Ling, Yu Han, Shi Jin, Michail Matthaiou

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

4 Citations (Scopus)
85 Downloads (Pure)

Abstract

We propose a novel two-phase separate channel estimation scheme in reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. Based on the sparsity of the channel, the parameters in the user equipment (UE)-RIS channel and RIS-base station (BS) channel can be estimated in two phases and then utilized for channel reconstruction. Different from the cascaded estimation, the proposed method can achieve separate channel estimation and, thus, has higher practicability and creates room for more ingenious transceiver design. Moreover, a new pilot protocol for the RIS phase shift matrix configuration is proposed, such that new users will need only limited pilot resources. Through simulations, we prove that the proposed scheme can achieve precise channel reconstruction with low pilot overhead.

Original languageEnglish
Title of host publicationIEEE International Conference on Communications (ICC 2023): Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages 4329-4334
Number of pages6
ISBN (Electronic)9781538674628
ISBN (Print)9781538674635
DOIs
Publication statusPublished - 23 Oct 2023
EventIEEE International Conference on Communications 2023 - Rome, Italy
Duration: 28 May 202301 Jun 2023
https://icc2023.ieee-icc.org/

Publication series

NameICC International Conference on Communications: Proceedings
PublisherIEEE
ISSN (Print)1550-3607
ISSN (Electronic)1938-1883

Conference

ConferenceIEEE International Conference on Communications 2023
Abbreviated titleIEEE ICC 2023
Country/TerritoryItaly
CityRome
Period28/05/202301/06/2023
Internet address

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