Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Research of Spectrum Monitoring Based on Signal Lifetime

Authors
Fuyin Zhao, Xueling Zhang, Tan Wang, Liang Chen
Corresponding Author
Fuyin Zhao
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.22How to use a DOI?
Keywords
Radio monitoring, signal, signal lifetime, prediction, big data.
Abstract
In view of the fact that the traditional spectrum occupancy parameter cannot reflect the transmission of multiple signals within the same frequency, in order to master the more detailed usage of radio frequency, this paper takes radio signals as the object and puts forward the concept of the signal lifetime which presents the regularity of signal activity in a more detailed manner. Based on actual monitoring data, a signal lifetime automatic extraction process is designed, and big data technology is applied to predict signal future transmission time. Actual tests show that the prediction of signal future transmission time has a fairly high accuracy. This paper demonstrates a technical exploration of the fine management of spectrum resources and provides technical reference for the automation and intellectualization of radio monitoring.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.22How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Fuyin Zhao
AU  - Xueling Zhang
AU  - Tan Wang
AU  - Liang Chen
PY  - 2018/12
DA  - 2018/12
TI  - Research of Spectrum Monitoring Based on Signal Lifetime
BT  - 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.22
DO  - https://doi.org/10.2991/tlicsc-18.2018.22
ID  - Zhao2018/12
ER  -