Channel Estimation With Reconfigurable Intelligent Surfaces-A General Framework

Optimally extracting the advantages available from reconfigurable intelligent surfaces (RISs) in wireless communications systems requires estimation of the channels to and from the RIS. The process of determining these channels is complicated when the RIS is composed of passive elements without any...

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Vydáno v:Proceedings of the IEEE Ročník 110; číslo 9; s. 1312 - 1338
Hlavní autoři: Swindlehurst, A. Lee, Zhou, Gui, Liu, Rang, Pan, Cunhua, Li, Ming
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.09.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Antennas
Availability
Channel estimation
Channel models
Channels
Data processing
direction of arrival (DOA) estimation
Direction-of-arrival estimation
intelligent reflecting surface
massive multi-input–multi-output (MIMO)
MIMO communication
Narrowband
Orthogonal Frequency Division Multiplexing
reconfigurable intelligent surface (RIS)
Reconfigurable intelligent surfaces
Uplink
Wideband
Wireless communication systems
ISSN:0018-9219, 1558-2256
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Popis
Shrnutí:Optimally extracting the advantages available from reconfigurable intelligent surfaces (RISs) in wireless communications systems requires estimation of the channels to and from the RIS. The process of determining these channels is complicated when the RIS is composed of passive elements without any sensing or data processing capabilities, and thus, the channels must be estimated indirectly by a noncolocated device, typically a controlling base station (BS). In this article, we examine channel estimation for passive RIS-based systems from a fundamental viewpoint. We study various possible channel models and the identifiability of the models as a function of the available pilot data and behavior of the RIS during training. In particular, we will consider situations with and without line-of-sight propagation, single-antenna and multi-antenna configurations for the users and BS, correlated and sparse channel models, single-carrier and wideband orthogonal frequency-division multiplexing (OFDM) scenarios, availability of direct links between the users and BS, exploitation of prior information, as well as a number of other special cases. We further conduct simulations of representative algorithms and comparisons of their performance for various channel models using the relevant Cramér-Rao bounds.
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ISSN:0018-9219
1558-2256
DOI:10.1109/JPROC.2022.3170358