Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Explainable Artificial Intelligence Framework for Quality-Aware IoE
  Service Delivery   One of the core envisions of the sixth-generation (6G) wireless networks is
to accumulate artificial intelligence (AI) for autonomous controlling of the
Internet of Everything (IoE). Particularly, the quality of IoE services
delivery must be maintained by analyzing contextual metrics of IoE such as
people, data, process, and things. However, the challenges incorporate when the
AI model conceives a lake of interpretation and intuition to the network
service provider. Therefore, this paper provides an explainable artificial
intelligence (XAI) framework for quality-aware IoE service delivery that
enables both intelligence and interpretation. First, a problem of quality-aware
IoE service delivery is formulated by taking into account network dynamics and
contextual metrics of IoE, where the objective is to maximize the channel
quality index (CQI) of each IoE service user. Second, a regression problem is
devised to solve the formulated problem, where explainable coefficients of the
contextual matrices are estimated by Shapley value interpretation. Third, the
XAI-enabled quality-aware IoE service delivery algorithm is implemented by
employing ensemble-based regression models for ensuring the interpretation of
contextual relationships among the matrices to reconfigure network parameters.
Finally, the experiment results show that the uplink improvement rate becomes
42.43% and 16.32% for the AdaBoost and Extra Trees, respectively, while the
downlink improvement rate reaches up to 28.57% and 14.29%. However, the
AdaBoost-based approach cannot maintain the CQI of IoE service users.
Therefore, the proposed Extra Trees-based regression model shows significant
performance gain for mitigating the trade-off between accuracy and
interpretability than other baselines.

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The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
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The categories of this paper are: acc-phys
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The categories of this paper are: dg-ga
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The categories of this paper are: gr-qc
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The categories of this paper are: eess
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The categories of this paper are: econ
36
The categories of this paper are: cmp-lg