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
LSA system development with sensing for rapidly deployable LTE network
|Author:||Lähetkangas, Kalle1; Posti, Harri1; Saarnisaari, Harri1;|
1Centre for Wireless Communications, FI-90014 University of Oulu, Finland
2Bittium Wireless Ltd.,Ritaharjuntie 1, 90590 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202003117862
|Publish Date:|| 2020-03-11
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.
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
|Pages:||143 - 153|
13th EAI International Conference, CROWNCOM 2018, Ghent, Belgium, September 18–20, 2018, Proceedings
CROWNCOM, Cognitive Radio Oriented Wireless Networks
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
The authors would like to acknowledge CORNET project consortium. This research has been financially supported by Business Finland CORNET project and by Academy of Finland 6Genesis Flagship (grant 318927).
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
© 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.