Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Reinforcement Learning for Admission Control in Wireless Virtual Network
  Embedding   Using Service Function Chaining (SFC) in wireless networks became popular in
many domains like networking and multimedia. It relies on allocating network
resources to incoming SFCs requests, via a Virtual Network Embedding (VNE)
algorithm, so that it optimizes the performance of the SFC. When the load of
incoming requests -- competing for the limited network resources - increases,
it becomes challenging to decide which requests should be admitted and which
one should be rejected.
  In this work, we propose a deep Reinforcement learning (RL) solution that can
learn the admission policy for different dependencies, such as the service
lifetime and the priority of incoming requests. We compare the deep RL solution
to a first-come-first-serve baseline that admits a request whenever there are
available resources. We show that deep RL outperforms the baseline and provides
higher acceptance rate with low rejections even when there are enough
resources.

28
The categories of this paper are: alg-geom
19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
14
The categories of this paper are: math-ph
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
16
The categories of this paper are: stat