Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DRaGon: Mining Latent Radio Channel Information from Geographical Data
  Leveraging Deep Learning   Radio channel modeling is one of the most fundamental aspects in the process
of designing, optimizing, and simulating wireless communication networks. In
this field, long-established approaches such as analytical channel models and
ray tracing techniques represent the de-facto standard methodologies. However,
as demonstrated by recent results, there remains an untapped potential to
innovate this research field by enriching model-based approaches with machine
learning techniques. In this paper, we present Deep RAdio channel modeling from
GeOinformatioN (DRaGon) as a novel machine learning-enabled method for
automatic generation of Radio Environmental Maps (REMs) from geographical data.
For achieving accurate path loss prediction results, DRaGon combines
determining features extracted from a three-dimensional model of the radio
propagation environment with raw images of the receiver area within a deep
learning model. In a comprehensive performance evaluation and validation
campaign, we compare the accuracy of the proposed approach with real world
measurements, ray tracing analyses, and well-known channel models. It is found
that the combination of expert knowledge from the communications domain and the
data analysis capabilities of deep learning allows to achieve a significantly
higher prediction accuracy than the reference methods.

24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
10
The categories of this paper are: q-bio
2
The categories of this paper are: math
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th