Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Predictive Quality of Service (PQoS): The Next Frontier for Fully
  Autonomous Systems   Recent advances in software, hardware, computing and control have fueled
significant progress in the field of autonomous systems. Notably, autonomous
machines should continuously estimate how the scenario in which they move and
operate will evolve within a predefined time frame, and foresee whether or not
the network will be able to fulfill the agreed Quality of Service (QoS). If
not, appropriate countermeasures should be taken to satisfy the application
requirements. Along these lines, in this paper we present possible methods to
enable predictive QoS (PQoS) in autonomous systems, and discuss which use cases
will particularly benefit from network prediction. Then, we shed light on the
challenges in the field that are still open for future research. As a case
study, we demonstrate whether machine learning can facilitate PQoS in a
teleoperated-driving-like use case, as a function of different measurement
signals.

25
The categories of this paper are: patt-sol
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph