Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine Learning Coupled Trajectory and Communication Design for
  UAV-Facilitated Wireless Networks   Augmenting wireless networks with Unmanned Aerial Vehicles (UAVs), commonly
referred to as drones, offers a promising avenue for providing reliable,
cost-effective, and on-demand wireless services to desired areas. However,
existing UAV communication and trajectory schemes are inefficient as they
assume limited drone mobility and static transmission power. Furthermore, they
tend to rely upon convex approximations to highly non-linear functions and fail
to adopt a combination of heuristic and convex methods. This paper considers a
Multi-UAV system where UAV-mounted mobile base stations serve users on the
ground. An iterative approach using block gradient descent is used to jointly
optimize user scheduling, UAV trajectories, and transmission power for
maximizing throughput over all users. Subsequently, an innovative technique for
initial trajectory predictions was developed using a K-means clustering
algorithm for partitioning users into subgroups and a genetic algorithm for
initializing shortest flight paths within clusters. Finally, convex
optimization solvers such as MATLAB's Fmincon are used for fine-tuning
parameters. Extensive simulation and optimization results demonstrate a 33.57%,
87.4%, and 53.2% increase in system throughput for the 1, 2, and 3 UAV
scenarios respectively when compared to existing trajectory and communication
design schemes. Furthermore, the K-means and genetic algorithm reveal
additional improvements in throughput by around 15%. Our results note
diminished increases in throughput for increases in UAV trajectory period as
the period approaches higher values. Further research into joint adoption of
convex and non-convex schemes as well as consideration of environment-dependent
channel models would allow for a faster and more optimal deployment of UAVs.

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The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
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The categories of this paper are: plasm-ph
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The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
9
The categories of this paper are: nlin
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The categories of this paper are: atom-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: nucl-th
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The categories of this paper are: q-alg
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The categories of this paper are: mtrl-th
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The categories of this paper are: q-fin
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The categories of this paper are: hep-th
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The categories of this paper are: math-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: math