Hybrid Amplitude and Phase Coding for Intelligent Reflecting Surface Aided Channel Estimation

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Abstract

The channel estimation techniques for intelligent reflecting surface (IRS)-assisted communication are investigated in this paper. IRS-aided communications rely on the accurate and efficient channel estimation of IRS component-related channels. But conventional channel estimation methods are inefficient due to the sequential estimations of pilot signals. This paper proposes a hybrid coding method, which changes the amplitude and phase of the signal over time and generates two pilot signals at the required frequencies to estimate the channel using interpolation. By using this method, a new send-and-reflect estimation scheme is proposed for separated channel estimation. The method is evaluated based on discrete and continuous coding, respectively. Numerical results show that the proposed method significantly reduces the channel estimation time with a trivial penalty on transmitting accuracy. Besides, the feasibility of discrete hybrid coding is also validated through simulations.
Original languageEnglish
Title of host publication2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9798350311143
ISBN (Print)9798350311150
DOIs
Publication statusPublished - 14 Aug 2023
Event2023 IEEE 97th Vehicular Technology Conference - Florence, Italy
Duration: 20 Jun 202323 Jun 2023
https://events.vtsociety.org/vtc2023-spring/

Publication series

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

Conference

Conference2023 IEEE 97th Vehicular Technology Conference
Abbreviated titleVTC2023-Spring
Country/TerritoryItaly
CityFlorence
Period20/06/2323/06/23
Internet address

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