Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimizing Coverage and Capacity in Cellular Networks using Machine
  Learning   Wireless cellular networks have many parameters that are normally tuned upon
deployment and re-tuned as the network changes. Many operational parameters
affect reference signal received power (RSRP), reference signal received
quality (RSRQ), signal-to-interference-plus-noise-ratio (SINR), and,
ultimately, throughput. In this paper, we develop and compare two approaches
for maximizing coverage and minimizing interference by jointly optimizing the
transmit power and downtilt (elevation tilt) settings across sectors. To
evaluate different parameter configurations offline, we construct a realistic
simulation model that captures geographic correlations. Using this model, we
evaluate two optimization methods: deep deterministic policy gradient (DDPG), a
reinforcement learning (RL) algorithm, and multi-objective Bayesian
optimization (BO). Our simulations show that both approaches significantly
outperform random search and converge to comparable Pareto frontiers, but that
BO converges with two orders of magnitude fewer evaluations than DDPG. Our
results suggest that data-driven techniques can effectively self-optimize
coverage and capacity in cellular networks.

6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
16
The categories of this paper are: stat
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci