Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Ambient backscatters-friendly 5G networks: creating hot spots for tags
  and good spots for readers   In this paper, we present an ambient backscatters-friendly 5G network that
creates locations with large power (hot spots) for tags and good reception
locations (quiet spots or coherent spots) for readers. The massive multiple
input multiple output (M-MIMO) antenna and beamforming capability of the 5G
network is used as follows. In a first step, a training device (separate from
tags and readers) is used to send pilots and train the 5G network to perform
focusing and/or nulling onto marked locations. In a second step, tags and
readers are positioned onto the marked locations. The robustness of M-MIMO
beamforming to slight changes in the environment is exploited. Our initial
simulation results, in a multipath propagation channel environment, show that
creating a hot spot on a tag improves the tag-reader range however with a low
probability of detection. Creating a hot spot on a tag and a good reception
spot on a reader at the same time, improves the tag-reader range with 99%
probability of detection. The study also shows that beamforming does not
degrade the performance of a legacy 5G communication.

22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
12
The categories of this paper are: nucl-th
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin