In this paper, we consider the channel estimation problem in FDD multiuser massive MIMO systems. A spatial correlated channel is first modeled. By exploiting ...
In this paper, we consider the channel estimation problem in FDD multi- user massive MIMO systems. A spatial correlated channel is first modeled. By exploiting ...
Based on the inherent common sparsity in the user channel matrices, an improved sparse channel estimation orthogonal matching pursuit (OMP) algorithm is ...
Dec 11, 2015 · By exploiting the spatial correlation, the channel can be represented in a sparse form in spatial-frequency domain. Then, the theory of ...
By exploiting the channel sparsity, channel estimation based on compressive sensing (CS) aims to reduce the feedback overhead in massive MIMO systems. In this ...
Missing: Improved | Show results with:Improved
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The energy efficiency is boosted due to the sharp and more focused beamforms for the desired user location. Massive MIMO is better because it has lesser inter- ...
Sep 19, 2024 · The sparse channel estimation which sufficiently exploits the inherent sparsity of wireless channels, is capable of improving the channel ...
Our approach is based on Bayesian compressive sensing in which the clustered sparse structure of the channel in the angular domain is exploited to reduce the ...
Missing: Improved | Show results with:Improved
May 27, 2019 · This paper proposes a nonorthogonal pilot design and a CS based algorithm SUCoSaMP to estimate the massive MIMO channels.
This paper investigates single-user uplink and two-user downlink channel estimation in reconfigurable intelligent surface (RIS)-aided millimeter-wave ...