Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Low-Complexity Message Passing Based Massive MIMO Channel Estimation by
  Exploiting Unknown Sparse Common Support with Dirichlet Process   This paper investigates the problem of estimating sparse channels in massive
MIMO systems. Most wireless channels are sparse with large delay spread, while
some channels can be observed having sparse common support (SCS) within a
certain area of the antenna array, i.e., the antenna array can be grouped into
several clusters according to the sparse supports of channels. The SCS property
is attractive when it comes to the estimation of large number of channels in
massive MIMO systems. Using the SCS of channels, one expects better
performance, but the number of clusters and the elements for each cluster are
always unknown in the receiver. In this paper, {the Dirichlet process} is
exploited to model such sparse channels where those in each cluster have SCS.
We proposed a low complexity message passing based sparse Bayesian learning to
perform channel estimation in massive MIMO systems by using combined BP with MF
on a factor graph. Simulation results demonstrate that the proposed massive
MIMO sparse channel estimation outperforms the state-of-the-art algorithms.
Especially, it even shows better performance than the variational Bayesian
method applied for massive MIMO channel estimation.

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The categories of this paper are: hep-th
3
The categories of this paper are: physics
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The categories of this paper are: alg-geom
16
The categories of this paper are: stat
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The categories of this paper are: nlin
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
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The categories of this paper are: hep-lat
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The categories of this paper are: nucl-th
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The categories of this paper are: mtrl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: astro-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-bio