EVALUASI MULTI-ANTENNA BERBASIS PENDEKATAN GLRT PADA COGNITIVE RADIO
DOI:
https://doi.org/10.25124/jett.v5i1.1253Keywords:
Cognitive RadioAbstract
Kebutuhan terhadap teknologi nirkabel semakin meningkat, Sementara itu ketersediaan spektrum frekuensi mendekati batasnya. Masalah ini dapat diatasi dengan pemanfaatan spektrum yang masimal. Salah satu teknologi yang dapat memaksimalkan ketersediaan spektrum adalah cognitive radio. Spektrum sensing adalah salah satu komponen yang ada di cognitive radio (CR). Algoritma sensing yang biasanya digunakan adalah deteksi energi. Karena ada beberapa kelemahan pada deteksi energi, yang mana sangat sensitif terhadap daya noise yang tidak menentu. Sehingga dibentuk metode baru berdasarkan pendekatan Generalized likelihood ratio tests (GLRT). Di paper ini analisis spektrum sensing pada cognitive radio berbasis pendekatan GLRT dan deteksi energi. Primary User (PU) menggunakan space-time block coding (STBC) dan kanal menggunakan Geometrically-Based Single Bounce (GBSB). Hasil evaluasi menunjukan beberapa masalah yang mempengaruhi kinerja pendekatan GLRT seperti; jumlah antenna penerima (nR), Skema MIMO STBC, bentuk kanal GBSB, Terakhir algoritma pendekatan GLRT dapat menyelesaikan masalah deteksi energi..
Downloads
References
S. M. M. D. Cabric and R. W. Brodersen, “Implementation issues in spectrum sensing for cognitive radios.†in Proc. Asilomar Conf. Signals, Syst. Computers, Paci?c Grove, CA, Nov. 2004.
A. Sahai and D. Cabric, “Spectrum sensing: Fundamental limits and practical challenges.†in Proc. IEEE Int. Symp. New Frontiers DySPAN (Tutorial), Baltimore, MD, Nov. 2005.
W. A. Gardner, “Signal interception: A unifying theoretical framework for feature detection.†Proc. IEEE, vol. 55, no. 4, Aug. 1988.
A. Gasemi and E. S. Sousa, “Collaborative spectrum sensing for opportunistic access in fading environments.†in Proc. IEEE Int. Symposium New Frontiers Dynamic Spectrum Access Networks (DySPAN), Baltimore, MD, Nov. 2005.
Y. Zeng and Y. C. Liang, “Spectrum-sensing algorithms for cognitive radio based on statistical covariances.†IEEE Trans. Veh. Technol., vol. 58, no. 4, May 2009.
——, “Eigenvalue-based spectrum sensing algorithms for cognitive radio.†IEEE Trans. Commun., vol. 57, no. 6, Jun. 2009.
S. M. Kay, “Fundamentals of statistical signal processing: Detection theory.†Vol- 2 Upper Saddle River, NJ: Prentice-Hall,, 1998.
Y. C. L. T. J. Lim, R. Zhang and Y. H. Zeng, “Glrt-based spectrum sensing for cognitive radio.†in Proc. IEEE GLOBECOM, New Orleans, LA, USA, Dec. 2008.
N. H. P. Wang, J. Fang and H. Li, “Multiantenna-assisted spectrum sensing for cognitive radio.†IEEE Trans. Veh. Technol., vol. 59, no. 4, May 2010.
K. L. H. C. S. Lei Huang, Jun Fang and H. Li, “An eigenvalue-momentratio approach to blind spectrum sensing for cognitive radio under sample-starving environment.†IEEE Trans. vehicular., vol. 64,no. 8,, August 2015.
A. S.M, “A simple transmit diversity technique for wireless communications.†IEEE Journal on Selected Areas in Communications 16 (8): 1451-1458. Doi: 10.1109/49.730453, October 1998.
E. Axell and E. G. Larsson, “Eigenvalue-based spectrum sensing of orthogonal space-time block coded signals.†IEEE Trans. Signal., vol. 60, no. 12, Dec. 2012.
J. Liberti and T. Rappaport, “A geometrically based model for line-ofsight multipath radio channels.†in Proc. IEEE Veh. Tech. Conf., Spring 1996, August.
M. H. Widianto, “Spectrum sensing based on covariance matrix incognitive radio.†Telkom University Tugas Akhir, Juni, 2015.
www.rabbit.com, “An introduction to wi-fi.†Digi Internation pp:18, 2007-2008.
T. Rapaport, “Wireless communication: Principles and practice.†Prentice Hall , 1st Edition, 1999.
F. Y. Suratman, “Kombinasi space time block coding dan eigenbeamforming untuk sistem komunikasi wireless.†Thesis ITB, STEI, 2006.
F. Jondral, “Software-defined radio basic and evolution to cognitive radio.†EURASIP J. Wireless Communication and Networking, 2005.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright Notice
An author who publishes in the Jurnal Elektro dan Telekomunikasi Terapan agrees to the following terms:
- Author retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-NonCommercial 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal
- Author is able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with the acknowledgement of its initial publication in this journal.
- Author is permitted and encouraged to post his/her work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work (See The Effect of Open Access).
Read more about the Creative Commons Attribution-NonCommercial 4.0 International License. here: http://creativecommons.org/licenses/by-nc/4.0/.
Privacy Statement
The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.
