Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Matrix Decomposition for Massive MIMO Detection   Massive multiple-input multiple-output (MIMO) is a key technology for fifth
generation (5G) communication system. MIMO symbol detection is one of the most
computationally intensive tasks for a massive MIMO baseband receiver. In this
paper, we analyze matrix decomposition algorithms for massive MIMO systems,
which were traditionally used for small-scale MIMO detection due to their
numerical stability and modular design. We present the computational complexity
of linear detection mechanisms based on QR, Cholesky and LDL-decomposition
algorithms for different massive MIMO configurations. We compare them with the
state-of-art approximate inversion-based massive MIMO detection methods. The
results provide important insights for system and very large-scale integration
(VLSI) designers to select appropriate massive MIMO detection algorithms
according to their requirement.

5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
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The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat