Skip to main content
SpringerLink
Log in
Book cover

Advances in Intelligent Informatics pp 157–167Cite as

The Exploitation of Unused Spectrum for Different Signal’s Technologies

  • Conference paper

  • 1854 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 320))

Abstract

Technological advances and market developments in the wireless communication area have been astonishing during the last decade and the mobile communication sector will continue to be one of the most dynamic technological drivers within comparative industries. This paper extend our previous work for detection and discrimination signals, and deals with a cognitive radio system (CR) to improve spectral efficiency for three signals (WiMAX, Frequency Hopping and CDMA2000) by sensing the environment and then filling the discovered gaps of unused licensed spectrum with their own transmissions. We mainly focused on energy detector spectrum sensing algorithm. The simulation shows that the CR systems can work efficiently by sensing and adapting the environment, and showing its ability to fill in the spectrum holes then serve its users without causing harmful interference to the licensed user.

This is a preview of subscription content, 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   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Kennington, J., Olinick, E., Rajan, D.: Wireless Network Design Optimization Models and Solution Procedures. Springer Science & Business Media, LLC (2011)

    Google Scholar 

  2. Antonio De, D., Emilio, C.S., Benedetto, M.-G.: A Survey on MAC Strategies for Cognitive Radio Networks. IEEE Communications Surveys & Tutorials (2010)

    Google Scholar 

  3. Liu, Y., Wan, Q.: Enhanced compressive wideband frequency spectrum sensing for dynamic spectrum access. EURASIP Journal on Advances in Signal Processing (2012)

    Google Scholar 

  4. Yoon, S., Li, L.E., Liew, S., Choudhury, R.R., Tan, K., Rhee, I.: QuickSense: Fast and Energy-Efficient Channel Sensing for Dynamic Spectrum Access Networks. In: IEEE INFOCOM (April 2013)

    Google Scholar 

  5. Hossain, E., Dusit, N., Zhu, H.: Dynamic Spectrum Access and Management in Cognitive Radio Networks. Cambridge University Press (2009)

    Google Scholar 

  6. Mitola III, J., Maguire Jr., G.Q.: Cognitive radio; making software radios more personal. IEEE Personal Communications Magazine 6(4), 13–18 (1999)

    Article  Google Scholar 

  7. Song, C., Lan, Z., Sean, S.C., Wang, J., Baykas, T., Harada, H.: Autonomous Dynamic Frequency Selection for WLANs Operating in The TV White Space Communications (ICC). In: 2011 IEEE International Conference (June 2011)

    Google Scholar 

  8. Marinho, J., Monteiro, E.: Cognitive radio, survey on communication protocols, spectrum decision issues, and future research directions. Springer Science & Business Media, LLC (2011)

    Google Scholar 

  9. Khader, A.A.H., Shabani, A.M.H., Beg, M.T.: Joint Detection and Discrimination of CDMA 2000, WiMAX and Frequency Hopping Signals. American Journal of Scientific Research (89) (July 2013)

    Google Scholar 

  10. Al-Habashna, A., Dobre, O.A., Venkatesan, R., Popescu, D.C.: WiMAX Signal Detection Algorithm based on Preamble-Induced Second-Order Cyclostationarity. In: IEEE Globecom (2010)

    Google Scholar 

  11. Al-Habashna, A., Dobre, O.A., Venkatesan, R., Popescu, D.C.: Joint Signal Detection and Classification of Mobile WiMAX and LTE OFDM Signals for Cognitive Radio. In: Signals, Systems and Computers (ASILOMAR), Conference Record of the Forty Fourth Asilomar Conference (2010)

    Google Scholar 

  12. Sridhara, K., Nayak, A., Singh, V., Dalela, P.K.: Enhanced Spectrum Utilization for Existing Cellular Technologies Based on Genetic Algorithm in Preview of Cognitive Radio. Int. J. Communications, Network and System Sciences 2 (2009)

    Google Scholar 

  13. Gorcin, A., Qaraqe, K.A., Celebi, H., Arslan, H.: An Adaptive Thresh-old Method for Spectrum Sensing in Multi-Channel Cognitive Radio Networks. In: 17th International Conference on Telecommunications (2010)

    Google Scholar 

  14. Cabric, D., Tkachenko, A., Brodersen, R.W.: Experimental Study of Spectrum Sensing based on Energy Detection and Network Cooperation. In: TAPAS 2006 Proceedings of the First International Workshop on Technology and Policy for Accessing Spectrum, Article No. 12. ACM, New York (2006)

    Google Scholar 

  15. Tabassam, A.A., Ali, F.A., Kalsait, S., Suleman, M.U.: Building Cognitive Radios in MATLAB Simulink– A Step Towards Future Wireless Technology. In: IEEE Conference UKSIM International Conference on Computer Modelling and Simulation (2011)

    Google Scholar 

  16. Satyanarayana Eerla, V.V.: Performance Analysis of Energy Detection Algorithm in Cognitive Radio. M.Sc. thesis, NIT Rourkela, India (2011)

    Google Scholar 

  17. Baldini, G., Giuliani, R., Capriglione, D., Sithamparanathan, K.: A Practical Demonstration of Spectrum Sensing For Wimax Based on Cyclostationary Features. Chapter of book. INTECH (2012) (online March 16)

    Google Scholar 

  18. Khuder, A.A.H.: Spectrum Estimation of Frequency Hopping Signal. AL-Mansour Journal, No.14 Special Issue, Part two (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Engineering, University of Mosul, Mosul, Iraq

    Ammar Abdul-Hamed Khader

  2. Department of Electronics & Communication Engineering, Jamia Millia Islamia, New Delhi, India

    Ammar Abdul-Hamed Khader, Mainuddin Mainuddin & Mirza Tariq Beg

Authors
  1. Ammar Abdul-Hamed Khader
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mainuddin Mainuddin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mirza Tariq Beg
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ammar Abdul-Hamed Khader .

Editor information

Editors and Affiliations

  1. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

  2. Indian Institute of Information Technology and Management- - Kerala (IIITM-K), Trivandrum, Kerala, India

    Sabu M. Thampi

  3. Faculty of Design, Kyushu University, Fukuoka, Japan

    Hideyuki Takagi

  4. Department of Information Systems and Operations Management, University of Florida, Warrington College of Business, Florida, Florida, USA

    Selwyn Piramuthu

  5. University of Applied Sciences, Institute for Information Systems, Olten, Switzerland

    Thomas Hanne

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Khader, A.AH., Mainuddin, M., Beg, M.T. (2015). The Exploitation of Unused Spectrum for Different Signal’s Technologies. In: El-Alfy, ES., Thampi, S., Takagi, H., Piramuthu, S., Hanne, T. (eds) Advances in Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 320. Springer, Cham. https://doi.org/10.1007/978-3-319-11218-3_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11218-3_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11217-6

  • Online ISBN: 978-3-319-11218-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation