Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Minimizing the Age of Information of Cognitive Radio-Based IoT Systems
  Under A Collision Constraint   This paper considers a cognitive radio-based IoT monitoring system,
consisting of an IoT device that aims to update its measurement to a
destination using cognitive radio technique. Specifically, the IoT device as a
secondary user (SIoT), seeks and exploits the spectrum opportunities of the
licensed band vacated by its primary user (PU) to deliver status updates
without causing visible effects to the licensed operation. In this context, the
SIoT should carefully make use of the licensed band and schedule when to
transmit to maintain the timeliness of the status update. We adopt a recent
metric, Age of Information (AoI), to characterize the timeliness of the status
update of the SIoT. We aim to minimize the long-term average AoI of the SIoT
while satisfying the collision constraint imposed by the PU by formulating a
constrained Markov decision process (CMDP) problem. We first prove the
existence of optimal stationary policy of the CMDP problem. The optimal
stationary policy (termed age-optimal policy) is shown to be a randomized
simple policy that randomizes between two deterministic policies with a fixed
probability. We prove that the two deterministic policies have a threshold
structure and further derive the closed-form expression of average AoI and
collision probability for the deterministic threshold-structured policy by
conducting Markov Chain analysis. The analytical expression offers an efficient
way to calculate the threshold and randomization probability to form the
age-optimal policy. For comparison, we also consider the throughput
maximization policy (termed throughput-optimal policy) and analyze the average
AoI performance under the throughput-optimal policy in the considered system.
Numerical simulations show the superiority of the derived age-optimal policy
over the throughput-optimal policy. We also unveil the impacts of various
system parameters on the corresponding optimal policy and the resultant average
AoI.

28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
19
The categories of this paper are: eess
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat