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A Spectrum Access with User Cooperation in Heterogeneous Cognitive Radio Networks

Received: 12 March 2017     Accepted: 20 May 2017     Published: 14 July 2017
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Abstract

Cognitive radio system consists of multiple wireless accesses that cover overlapping area, and cognitive terminals that use one or more of the wireless accesses simultaneously. In cognitive radio systems, secondary users can share the spectrum with the primary user as long as the quality of service (QoS) of the primary system is guaranteed. However, the system throughput of the cognitive system will be limited when the QoS requirement is stringent. We had proposed the architecture of the cognitive radio system, the inter-system handover protocols and packet format designed to achieve fast handover among the radio systems.

Published in International Journal of Systems Engineering (Volume 1, Issue 1)
DOI 10.11648/j.ijse.20170101.13
Page(s) 17-20
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Cognitive Radio Networks, Logarithmic Regret, Distributed Algorithms, Handovers, QoS

References
[1] Ian F. Akyildiz, Won-Yeol Lee, Mehmet C. Vuran, and Shantidev Mohanty, “A Survey on Spectrum Management in Cognitive Radio Networks”, IEEE communications magazine, April 2008.
[2] Qing-qi Pei, Zili, and Li-chuna ma, “A Trust Value – Based Spectrum Allocation Algorithm in CWSNs”, Hindawi Publishing Corporation, International Journal of Distributed Sensor Networks, volume April 2013.
[3] Hyunsung Kim, “privacy preserving security framework for cognitive radio networks”, department of cyber security, Kyungil University, Korea, mar-apr 2013.
[4] FCC, ET Docket No 03-222 Notice of proposed rulemaking and order, December 2003.
[5] J. Mitola III, “cognitive radio: an integrated agent architecture for software defined radio”, PhD. Thesis, KTH Royal Institute of Technology, 2000.
[6] Didem Gozupek, Suzan Bayhan, and Fatih Alagoz, “A Novel Handover Protocol to Prevent Hidden Node Problem in Satellite Assisted Cognitive Radio Networks”, satellite networks research laboratory (SATLAB), dept of computer engineering, Bogazici University, TURKEY, 2008.
[7] Elias Z. Tragos, Sherali Zeadally, Alexandros G. Fragkiadakis, and Vasilios A. Siris,”Spectrum Assignment in Cognitive Radio Networks: A comprehensive Survey, IEEE communication surveys & tutorials, vol. 15, no. 3, third quarter 2013.
[8] L. Qiu, Y. Zhang, F. Wang, and M. Han, “A general model of wireless interference”, in proc. 13th annual ACM international conference on Mobile computing and networking, 2007.
[9] J. Lee, S. Lee, W. Kim, D. Jo, T. Kwon, and Y. Choi, “understanding interference and carrier sensing in wireless mesh networks”, IEEE commun. Mag., vol. 47, no. 7, pp. 102-109, 2009.
[10] S. Bayhan, G. Gur, F. Alagoz, “satellite assisted spectrum agility concept”, proceedings of military communications conference (MILCOM’07), Orlando, Florida, USA, 2007.
[11] K. Mythili and H. Anandakumar, "Trust management approach for secure and privacy data access in cloud computing," Green Computing, Communication and Conservation of Energy (ICGCE), 2013 International Conference on, Chennai, 2013, pp. 923-927. doi: 10.1109/ICGCE.2013.6823567.
[12] V. Dhivya, H. Anandakumar and M. Sivakumar, "An effective group formation in the cloud based on Ring signature," Intelligent Systems and Control (ISCO), 2015 IEEE 9th International Conference on, Coimbatore, 2015, pp. 1-4. doi: 10.1109/ISCO.2015.7282366.
[13] A. Roshini and H. Anandakumar, "Hierarchical cost effective leach for heterogeneous wireless sensor networks," Advanced Computing and Communication Systems, 2015 International Conference on, Coimbatore, 2015, pp. 1-7. doi: 10.1109/ICACCS.2015.7324082.
[14] H. Anandakumar and K. Umamaheswari, “Energy Efficient Network Selection Using 802.16g based GSM Technology” J. Comput. Sci., vol. 10, no. 5, pp. 745-754. (2014) doi: 10.3844/jcssp.2014.745.754.
[15] S. Divya, H. A. Kumar and A. Vishalakshi, "An improved spectral efficiency of WiMAX using 802.16G based technology," Advanced Computing and Communication Systems, 2015 International Conference on, Coimbatore, 2015, pp. 1-4. doi: 10.1109/ICACCS.2015.7324098.
[16] M. Suganya and H. Anandakumar, "Handover based spectrum allocation in cognitive radio networks," Green Computing, Communication and Conservation of Energy (ICGCE), 2013 International Conference on, Chennai, 2013, pp. 215-219. doi: 10.1109/ICGCE.2013.6823431.
[17] Diego Pacheco-Paramo, Vicent Pla and Jorge Martinez-Bauset, “optimal admission control in cognitive radio networks”, dept. of communication, Universidad Politecnica de Valencia (UPV), 2009.
Cite This Article
  • APA Style

    Saranya Sakthivel. (2017). A Spectrum Access with User Cooperation in Heterogeneous Cognitive Radio Networks. International Journal of Systems Engineering, 1(1), 17-20. https://doi.org/10.11648/j.ijse.20170101.13

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    ACS Style

    Saranya Sakthivel. A Spectrum Access with User Cooperation in Heterogeneous Cognitive Radio Networks. Int. J. Syst. Eng. 2017, 1(1), 17-20. doi: 10.11648/j.ijse.20170101.13

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    AMA Style

    Saranya Sakthivel. A Spectrum Access with User Cooperation in Heterogeneous Cognitive Radio Networks. Int J Syst Eng. 2017;1(1):17-20. doi: 10.11648/j.ijse.20170101.13

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  • @article{10.11648/j.ijse.20170101.13,
      author = {Saranya Sakthivel},
      title = {A Spectrum Access with User Cooperation in Heterogeneous Cognitive Radio Networks},
      journal = {International Journal of Systems Engineering},
      volume = {1},
      number = {1},
      pages = {17-20},
      doi = {10.11648/j.ijse.20170101.13},
      url = {https://doi.org/10.11648/j.ijse.20170101.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijse.20170101.13},
      abstract = {Cognitive radio system consists of multiple wireless accesses that cover overlapping area, and cognitive terminals that use one or more of the wireless accesses simultaneously. In cognitive radio systems, secondary users can share the spectrum with the primary user as long as the quality of service (QoS) of the primary system is guaranteed. However, the system throughput of the cognitive system will be limited when the QoS requirement is stringent. We had proposed the architecture of the cognitive radio system, the inter-system handover protocols and packet format designed to achieve fast handover among the radio systems.},
     year = {2017}
    }
    

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    AU  - Saranya Sakthivel
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    N1  - https://doi.org/10.11648/j.ijse.20170101.13
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    T2  - International Journal of Systems Engineering
    JF  - International Journal of Systems Engineering
    JO  - International Journal of Systems Engineering
    SP  - 17
    EP  - 20
    PB  - Science Publishing Group
    SN  - 2640-4230
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    AB  - Cognitive radio system consists of multiple wireless accesses that cover overlapping area, and cognitive terminals that use one or more of the wireless accesses simultaneously. In cognitive radio systems, secondary users can share the spectrum with the primary user as long as the quality of service (QoS) of the primary system is guaranteed. However, the system throughput of the cognitive system will be limited when the QoS requirement is stringent. We had proposed the architecture of the cognitive radio system, the inter-system handover protocols and packet format designed to achieve fast handover among the radio systems.
    VL  - 1
    IS  - 1
    ER  - 

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Author Information
  • Department of Computer Science and Engineering, SNS College of Engineering, Coimbatore, India

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