Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Inter-Cell Slicing Resource Partitioning via Coordinated Multi-Agent
  Deep Reinforcement Learning   Network slicing enables the operator to configure virtual network instances
for diverse services with specific requirements. To achieve the slice-aware
radio resource scheduling, dynamic slicing resource partitioning is needed to
orchestrate multi-cell slice resources and mitigate inter-cell interference. It
is, however, challenging to derive the analytical solutions due to the complex
inter-cell interdependencies, interslice resource constraints, and
service-specific requirements. In this paper, we propose a multi-agent deep
reinforcement learning (DRL) approach that improves the max-min slice
performance while maintaining the constraints of resource capacity. We design
two coordination schemes to allow distributed agents to coordinate and mitigate
inter-cell interference. The proposed approach is extensively evaluated in a
system-level simulator. The numerical results show that the proposed approach
with inter-agent coordination outperforms the centralized approach in terms of
delay and convergence. The proposed approach improves more than two-fold
increase in resource efficiency as compared to the baseline approach.

19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
24
The categories of this paper are: dg-ga
36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
7
The categories of this paper are: hep-th
32
The categories of this paper are: atom-ph