Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: UAV-Assisted Communication in Remote Disaster Areas using Imitation
  Learning   The damage to cellular towers during natural and man-made disasters can
disturb the communication services for cellular users. One solution to the
problem is using unmanned aerial vehicles to augment the desired communication
network. The paper demonstrates the design of a UAV-Assisted Imitation Learning
(UnVAIL) communication system that relays the cellular users' information to a
neighbor base station. Since the user equipment (UEs) are equipped with buffers
with limited capacity to hold packets, UnVAIL alternates between different UEs
to reduce the chance of buffer overflow, positions itself optimally close to
the selected UE to reduce service time, and uncovers a network pathway by
acting as a relay node. UnVAIL utilizes Imitation Learning (IL) as a
data-driven behavioral cloning approach to accomplish an optimal scheduling
solution. Results demonstrate that UnVAIL performs similar to a human expert
knowledge-based planning in communication timeliness, position accuracy, and
energy consumption with an accuracy of 97.52% when evaluated on a developed
simulator to train the UAV.

7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas