Channel Modeling and Channel Estimation for Holographic Massive MIMO With Planar Arrays

QC 20220601
In a realistic wireless environment, the multi-antenna channel usually exhibits spatially correlated fading. This is more emphasized when a large number of antennas is densely deployed, known as holographic massive MIMO (multiple-input multiple-output). In the first part of this letter, we develop a channel model for holographic massive MIMO by considering both non-isotropic scattering and directive antennas. With a large number of antennas, it is difficult to obtain full knowledge of the spatial correlation matrix. In this case, channel estimation is conventionally done using the least-squares (LS) estimator that requires no prior information of the channel statistics or array geometry. In the second part of this letter, we propose a novel channel estimation scheme that exploits the array geometry to identify a subspace of reduced rank that covers the eigenspace of any spatial correlation matrix. The proposed estimator outperforms the LS estimator, without using any user-specific channel statistics.

Björnson, Emil,Professor,1983-KTH,Kommunikationssystem, CoS(Swepub:kth)u19buxd9 (author)
Sanguinetti, LucaUniv Pisa, Dipartimento Ingn Informaz, I-56122 Pisa, Italy. (author)
KTHKommunikationssystem, CoS (creator_code:org_t)

In:IEEE Wireless Communications Letters: Institute of Electrical and Electronics Engineers (IEEE)11:5, s. 997-10012162-23372162-2345

By the author/editor: Demir, Ozlem Tug ...; Björnson, Emil, ...; Sanguinetti, Luc ...

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ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Signal Processin ...

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Telecommunicatio ...

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