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USA-737904-ComputersNetworking Azienda Directories
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Azienda News:
- Sparse Channel Estimation for Spatial Non-Stationary Massive MIMO Channels
Abstract: In massive MIMO systems, the channel shows a spatial non-stationarity that has a significant impact on the design of sparse channel estimation scheme based on compressive sensing, due to the large size of antenna array
- Sparse Channel Estimation for Spatial Non-Stationary Massive MIMO . . .
To evaluate our proposed scheme, we modify the standardized 3GPP channel model with birth-death process to capture the spatial non-stationarity of practical massive MIMO channels
- Sparse Channel Estimation for Spatial Non-Stationary Massive MIMO Channels
The block matching pursuit (BMP)-based two-stage sparse channel estimation scheme is proposed for spatial non-stationary (SNS) channels and results demonstrate that the proposed scheme can recover channels effectively and achieve better performance than comparison methods
- Spatially Non-Stationary XL-MIMO Channel Estimation: A Three-Layer . . .
In this paper, the channel estimation problem for extremely large-scale multi-input multi-output (XL-MIMO) systems is investigated with the considerations of near-field (NF) spherical wavefront effects and spatially non-stationary (SnS) properties
- Sparse Channel Estimation for Spatial Non-Stationary Massive MIMO Channels
Article "Sparse Channel Estimation for Spatial Non-Stationary Massive MIMO Channels" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and Technology Agency (hereinafter referred to as "JST")
- Combined BP-MF algorithm for cluster sparse non-stationary channel of . . .
In this paper, we design a combined BP-MF channel estimation algorithm by combining the BP and MF rules on the same factor graph in the uplink massive MIMO system, where the channel has the cluster sparse non-stationary characteristic
- Channel Estimation for Non-Stationary Extremely Large-Scale MIMO
To effectively estimate these channels, a GTBC-based polar-domain simultaneous orthogonal matching pursuit (GP-SOMP) algorithm is proposed as brings a severe mismatch between the sparse representation of existing CS based channel estimation schemes and the actual XL-MIMO channels
- Threshold-Enhanced Hierarchical Spatial Non-Stationary Channel . . .
n this paper, we investigated the spatial non-stationary channel estimation for the massive MIMO systems By exploit-ing the special non-uniform sparse structure, the channel esti-mation is formulated as a hierarchical sparse signal recovery problem, and the threshold-enhanced hierarchical algorithms including t
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