Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Intelligent Resource Allocation in Dense LoRa Networks using Deep
  Reinforcement Learning   The anticipated increase in the count of IoT devices in the coming years
motivates the development of efficient algorithms that can help in their
effective management while keeping the power consumption low. In this paper, we
propose an intelligent multi-channel resource allocation algorithm for dense
LoRa networks termed LoRaDRL and provide a detailed performance evaluation. Our
results demonstrate that the proposed algorithm not only significantly improves
LoRaWAN's packet delivery ratio (PDR) but is also able to support mobile
end-devices (EDs) while ensuring lower power consumption hence increasing both
the lifetime and capacity of the network.} Most previous works focus on
proposing different MAC protocols for improving the network capacity, i.e.,
LoRaWAN, delay before transmit etc. We show that through the use of LoRaDRL, we
can achieve the same efficiency with ALOHA \textcolor{black}{compared to
LoRaSim, and LoRa-MAB while moving the complexity from EDs to the gateway thus
making the EDs simpler and cheaper. Furthermore, we test the performance of
LoRaDRL under large-scale frequency jamming attacks and show its adaptiveness
to the changes in the environment. We show that LoRaDRL's output improves the
performance of state-of-the-art techniques resulting in some cases an
improvement of more than 500\% in terms of PDR compared to learning-based
techniques.

8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom