Skip to main content
SpringerLink
Log in

LSA System Development with Sensing for Rapidly Deployable LTE Network

  • Conference paper
  • First Online:
Cognitive Radio Oriented Wireless Networks (CROWNCOM 2018)

Included in the following conference series:

  • 391 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The commercial networks can be connected to this system for example with multi-radio access technologies such as a high antenna gain multioperator 3G/4G/LTE router lifted high above the ground level.

  2. 2.

    Moreover, with more detectors, false detections itself can be detected if multiple sensors give contradictory results.

References

  1. Akyildiz, I.F., Lo, B.F., Balakrishnan, R.: Cooperative spectrum sensing in cognitive radio networks: a survey. Phys. Commun. 4(1), 40–62 (2011)

    Article  Google Scholar 

  2. Benko, J.: A PHY/MAC proposal for IEEE 802.22 WRAN systems, part 1: The PHY. IEEE 802.22-06/0004r1, February 2006

    Google Scholar 

  3. Electronic Communications Committee: Licensed Shared Access (LSA). ECC Report 205, February 2014

    Google Scholar 

  4. Elektrobit: Enhancing the link network performance with EB tactical wireless IP network (TAC WIN). EB Defense Newsletter, December 2014. https://www.bittium.com/file.php?fid=785. Accessed Aug 2018

  5. ETSI: LTE; mission critical video over LTE. ETSI TS 122 281 V15.1.0, July 2018

    Google Scholar 

  6. ETSI: LTE;mission critical data over LTE. ETSI TS 122 282 V15.1.0, July 2018

    Google Scholar 

  7. ETSI: Universal Mobile Telecommunications System (UMTS); LTE; mission critical push to talk (MCPTT) over LTE; stage 1. ETSI TS 122 179 V15.2.0, July 2018

    Google Scholar 

  8. ETSI: Universal Mobile Telecommunications System (UMTS); LTE; proximity-based services (ProSe); stage 2. ETSI TS 123 303 V15.1.0, July 2018

    Google Scholar 

  9. ETSI: Reconfigurable radio systems (RRS); system requirements for operation of mobile broadband systems in the 2 300 MHz–2 400 MHz band under licensed shared access (LSA). ETSI TS 103 154, V1.1.1, October 2014

    Google Scholar 

  10. ETSI: Reconfigurable radio systems (RRS); system architecture and high level procedures for operation of licensed shared access (LSA) in the 2 300 MHz–2 400 MHz band. ETSI TS 103 235 V1.1.1, October 2015

    Google Scholar 

  11. Etsi, E.N.: 300 392–1: Terrestrial trunked radio (TETRA); voice plus data (V+D); part 1: General network design. V1.4.1, January 2009

    Google Scholar 

  12. Ghasemi, A., Sousa, E.S.: Collaborative spectrum sensing for opportunistic access in fading environments. In: IEEE International Symposium on Dynamic Spectrum Access Networks, pp. 131–136, November 2005

    Google Scholar 

  13. Höyhtyä, M., et al.: Spectrum occupancy measurements: a survey and use of interference maps. IEEE Commun. Surv. Tutor. 18(4), 2386–2414 (2016)

    Article  Google Scholar 

  14. Kay, S.: Fundamentals of Statistical Signal Processing: Detection Theory, vol. 2. Prentice-Hall, Upper Saddle River (1998)

    Google Scholar 

  15. Lähetkangas, K., Saarnisaari, H., Hulkkonen, A.: Licensed shared access system possibilities for public safety. Mob. Inf. Syst. 2016, 1–12 (2016)

    Google Scholar 

  16. Lähetkangas, K., Saarnisaari, H., Hulkkonen, A.: Licensed shared access system development for public safety. In: Proceedings of the European Wireless Conference, Oulu, Finland, May 2016

    Google Scholar 

  17. Lehtomäki, J.: Analysis of energy based signal detection. Ph.D. dissertation, Faculty of Technology, University of Oulu, Finland, December 2005

    Google Scholar 

  18. Mishra, S.M., Sahai, A., Brodersen, R.W.: Cooperative sensing among cognitive radios. In: IEEE International Conference on Communications, vol. 4, pp. 1658–1663 (2006)

    Google Scholar 

  19. Morgado, A., et al.: Dynamic LSA for 5G networks. In: European Conference on Networks and Communications, pp. 190–194, June 2015

    Google Scholar 

  20. Palola, M., et al.: The first end-to-end live trial of CBRS with carrier aggregation using 3.5 GHz LTE equipment. In: IEEE International Symposium on Dynamic Spectrum Access Networks, pp. 1–2, March 2017

    Google Scholar 

  21. Sohul, M.M., Yao, M., Yang, T., Reed, J.H.: Spectrum access system for the citizen broadband radio service. IEEE Commun. Mag. 53(7), 18–25 (2015)

    Article  Google Scholar 

  22. Subhedar, M., Birajdar, G.: Spectrum sensing techniques in cognitive radio networks: a survey. Int J. Next-Gener. Netw. 3, 37–51 (2011)

    Article  Google Scholar 

  23. Uchiyama, H., et al.: Study on cooperative sensing in cognitive radio based ad-hoc network. In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1–5, September 2007

    Google Scholar 

  24. Visotsky, E., Kuffner, S., Peterson, R.: On collaborative detection of TV transmissions in support of dynamic spectrum sharing. In: IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 338–345, November 2005

    Google Scholar 

  25. Wireless innovation forum: Signaling protocols and procedures for citizens broadband radio service (CBRS): Spectrum access system (SAS) - citizens broadband radio service device (CBSD) interface technical specification. WINNF-TS-0096 V 1.3.0, April 2018. https://workspace.winnforum.org/higherlogic/ws/public/download/6482/. Accessed Aug 2018

  26. Yucek, T., Arslan, H.: A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Commun. Surv. Tutor. 11(1), 116–130 (2009)

    Article  Google Scholar 

Download references

Acknowledgement

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).

Author information

Authors and Affiliations

  1. Centre for Wireless Communications, University of Oulu, 90014, Oulu, Finland

    Kalle Lähetkangas, Harri Posti & Harri Saarnisaari

  2. Bittium Wireless Ltd., Ritaharjuntie 1, 90590, Oulu, Finland

    Ari Hulkkonen

Authors
  1. Kalle Lähetkangas
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Harri Posti
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Harri Saarnisaari
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ari Hulkkonen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kalle Lähetkangas .

Editor information

Editors and Affiliations

  1. Ghent University, Ghent, Belgium

    Ingrid Moerman

  2. University of Antwerp, Antwerpen, Belgium

    Johann Marquez-Barja

  3. Ghent University, Zwijnaarde, Belgium

    Adnan Shahid

  4. Ghent University, Zwijnaarde, Belgium

    Wei Liu

  5. Ghent University, Zwijnaarde, Belgium

    Spilios Giannoulis

  6. Ghent University, Zwijnaarde, Belgium

    Xianjun Jiao

Rights and permissions

Reprints and permissions

Copyright information

© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

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://doi.org/10.1007/978-3-030-05490-8_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05490-8_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05489-2

  • Online ISBN: 978-3-030-05490-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation