Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimality of Large MIMO Detection via Approximate Message Passing   Optimal data detection in multiple-input multiple-output (MIMO) communication
systems with a large number of antennas at both ends of the wireless link
entails prohibitive computational complexity. In order to reduce the
computational complexity, a variety of sub-optimal detection algorithms have
been proposed in the literature. In this paper, we analyze the optimality of a
novel data-detection method for large MIMO systems that relies on approximate
message passing (AMP). We show that our algorithm, referred to as
individually-optimal (IO) large-MIMO AMP (short IO-LAMA), is able to perform IO
data detection given certain conditions on the MIMO system and the
constellation set (e.g., QAM or PSK) are met.

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The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
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The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
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The categories of this paper are: stat
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The categories of this paper are: hep-ph
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The categories of this paper are: astro-ph
3
The categories of this paper are: physics