Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Asymptotically Achieving Centralized Rate on the Decentralized Network
  MISO Channel   We analyze the high-SNR regime of the MxK Network MISO channel in which each
transmitter has access to a different channel estimate, possibly with different
precision. It has been recently shown that, for some regimes, this setting
attains the same Degrees-of-Freedom as the ideal centralized setting with
perfect CSI sharing, in which all the transmitters are endowed with the best
estimate available at any transmitter. This result is restricted by the
limitations of the DoF metric, as it only provides information about the slope
of growth of the capacity as a function of the SNR, without any insight about
the possible performance at a given SNR. To overcome this limitation, we
analyze the affine approximation of the rate on the high-SNR regime for this
decentralized Network MISO setting for the antenna configurations in which it
achieves the DoF of the centralized setting. We show that, for a regime of
antenna configurations, it is possible to asymptotically attain the same
achievable rate as in the ideal centralized scenario. Consequently, it is
possible to achieve the beamforming gain of the ideal perfect-CSI-sharing
setting even if only a subset of transmitters is endowed with precise CSI,
which can be exploited in scenarios such as distributed massive MIMO where the
number of transmit antennas is much bigger than the number of served users.
This outcome is a consequence of the synergistic compromise between CSI
precision at the transmitters and consistency between the locally-computed
precoders, which is an inherent trade-off of decentralized settings that does
not exist in a centralized CSI configuration. We propose a precoding scheme
achieving the previous result, which is built on an uneven structure in which
some transmitters reduce the precision of their own precoding for the sake of
using transmission parameters that can be more easily predicted by the other
transmitters.

23
The categories of this paper are: solv-int
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat