Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AoA-Based Pilot Assignment in Massive MIMO Systems Using Deep
  Reinforcement Learning   In this paper, the problem of pilot contamination in a multi-cell massive
multiple input multiple output (M-MIMO) system is addressed using deep
reinforcement learning (DRL). To this end, a pilot assignment strategy is
designed that adapts to the channel variations while maintaining a tolerable
pilot contamination effect. Using the angle of arrival (AoA) information of the
users, a cost function, portraying the reward, is presented, defining the pilot
contamination effects in the system. Numerical results illustrate that the
DRL-based scheme is able to track the changes in the environment, learn the
near-optimal pilot assignment, and achieve a close performance to that of the
optimum pilot assignment performed by exhaustive search, while maintaining a
low computational complexity.

14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
1
The categories of this paper are: cs
5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
2
The categories of this paper are: math
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex