LSA system development with sensing for rapidly deployable LTE network

Lähetkangas, Kalle; Posti, Harri; Saarnisaari, Harri; Hulkkonen, Ari (2019-01-09)
 
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https://doi.org/10.1007/978-3-030-05490-8_14

Lähetkangas, Kalle
Posti, Harri
Saarnisaari, Harri
Hulkkonen, Ari
Springer Nature
09.01.2019

Lähetkangas K., Posti H., Saarnisaari H., Hulkkonen A. (2019) LSA System Development with Sensing for Rapidly Deployable LTE Network. In: Moerman I., Marquez-Barja J., Shahid A., Liu W., Giannoulis S., Jiao X. (eds) Cognitive Radio Oriented Wireless Networks. CROWNCOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 261. Springer, Cham

https://rightsstatements.org/vocab/InC/1.0/
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019. This is a post-peer-review, pre-copyedit version of an article published in 13th EAI International Conference, CROWNCOM 2018, Ghent, Belgium, September 18–20, 2018, Proceedings. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-05490-8_14.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1007/978-3-030-05490-8_14
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https://urn.fi/URN:NBN:fi-fe202003117862
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Abstract

Public safety users require radio spectrum for their communication systems. In this study, sensors are proposed as a backup spectrum information source in a rapidly deployed public safety long term evolution (LTE) communication network with licensed shared access (LSA) system. While the LSA system has been well developed, the drawback measures have not been thoroughly investigated from the application point of view. Herein, a collaborative sensing method is suggested for detecting an incumbent spectrum user and for establishing a protection zone around it. Furthermore, methods are developed for combining information from sensors and from an LSA system in a rapidly deployable public safety LTE network. The information from the sensors can be used for verifying incumbent protection and also for finding available spectrum in critical scenarios. The proposed methods give wider spectrum knowledge than just by using repository information or local sensor information.

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