Research Article
BibTex RIS Cite
Year 2016, Special Issue (2016), 48 - 51, 01.12.2016
https://doi.org/10.18100/ijamec.263962

Abstract

References

  • I. A. Mamoon, A. K. M Muzahidul-Islam, Sabariah Baharun, Shozo Komaki, Ashir Ahmed, “Architecture and communication protocols for cognitive radio network enabled hospital” IEEE International Symposium on Medical Information and Communication Technology (ISMICT), 2015, pp. 170-174.
  • I. A. Mamoon, A. K. M Muzahidul Islam, Ahmad Shahrizal Sani, Sabariah Baharun, Shozo Komaki Toshio Wakabayashi, “Definition, design and priority management of a cognitive radio driven hospital: CogMed”, IEEE Conference on Biomedical Engineering and Sciences (IECBES), 2014, pp. 373-378.
  • A. Eslami, S. Karamzadeh, “Performance Analysis of Energy Based Spectrum Sensing over Nakagami-m Fading Channels with Noise uncertainty”, International Journal Of Electronics, Mechanical Aand Mechatronics Engineering (IJEMME), 2016, vol:6, pp: 1101-1106.
  • A. Eslami, S. Karamzadeh, “Performance analysis of double threshold energy detection-based spectrum sensing in low SNRs over Nakagami-m fading channels with noise uncertainty”, IEEE conference on Signal Processing and Communication Application (SIU), 2016, pp: 309-312.
  • S. Atapattu, C. Tellambura And H. Jiang, “Spectrum sensing via energy detector in low snr”, 2011 IEEE International Conference on Communications (ICC), June 2011, pp. 1-5.
  • J. Zhu, Z. Xu, F. Wang, B. Huang, B. Zhang, "Double threshold energy detection of cooperative spectrum sensing in cognitive radio", IEEE CrownCom, pp. 15, Singapore, May 2008.
  • N. Pillay and H.J. Xu, “Bling eigenvalue-based spectrum sensing for cognitive radio networks" IET Commun., 2012, Vol. 6, Iss. 11, pp. 1388–1396.
  • N. Han, S. H. Shon, J. O. Joo, and J. M. Kim, “Spectral correlation based signal detection method for spectrum sensing in IEEE 802.22 WRAN systems," Intern. Conf. Advanced Commun. Technology, Korea, Feb. 2006.
  • Y. Zeng and Y.-C. Liang , "Eigenvalue-based spectrum sensing algorithms for cognitive radio" , IEEE Trans. Commun. , vol. 57 , no. 6 , pp.1784 -793 , 2009
  • Z.Ye, G.Memik, and J.Grosspietsch, "Energy Detection using Estimated Noise Variance for Spectrum Sensing in Cognitive Radio Networks, " in Wireless Communications and Networking Conference 2008.Las Vegas, USA: IEEE Communications Society, Mar.-Apr.2008.

Proposal and Analysis of a New Spectrum Sensing Algorithm for Cognitive Radio Driven Hospitals

Year 2016, Special Issue (2016), 48 - 51, 01.12.2016
https://doi.org/10.18100/ijamec.263962

Abstract

Wireless technology is the key technology to eliminate the dense wire
ropes from hospitals and far access to medical devices. In order to overcome
the problem of bandwidth scarcity, cognitive radio driven hospitals are
introduced and devices are divided in two categories. The first category is
primary devices and the second one is secondary devices. Primary devices has
very high priority and their communication is vital for the hospital and
patients, so that no interference should be made with such devices. Secondary
devices are the ones which has lower priority and they can wait until the
primary devices do their communication and then, they begin to use the
allocated spectrum. One of the key functions to assure that there will be no
interference is a reliable spectrum sensing method. This method should be a
simple one to be able to implement it in the secondary devices. Among all the
sensing methods, energy detection (ED) based spectrum sensing is very popular.
In order to improve the performance of ED, double threshold ED (DTED) method is
introduced in literature. In this paper, a new algorithm is intruded for DTED
considering previous sensing period results in detection procedure by using a
memory stick. Memoryful DTED (MDTED) improves the performance of DTED
considerably by only the cost of delay in secondary devices communication which
has less value than the improvement of the detection method performance.

References

  • I. A. Mamoon, A. K. M Muzahidul-Islam, Sabariah Baharun, Shozo Komaki, Ashir Ahmed, “Architecture and communication protocols for cognitive radio network enabled hospital” IEEE International Symposium on Medical Information and Communication Technology (ISMICT), 2015, pp. 170-174.
  • I. A. Mamoon, A. K. M Muzahidul Islam, Ahmad Shahrizal Sani, Sabariah Baharun, Shozo Komaki Toshio Wakabayashi, “Definition, design and priority management of a cognitive radio driven hospital: CogMed”, IEEE Conference on Biomedical Engineering and Sciences (IECBES), 2014, pp. 373-378.
  • A. Eslami, S. Karamzadeh, “Performance Analysis of Energy Based Spectrum Sensing over Nakagami-m Fading Channels with Noise uncertainty”, International Journal Of Electronics, Mechanical Aand Mechatronics Engineering (IJEMME), 2016, vol:6, pp: 1101-1106.
  • A. Eslami, S. Karamzadeh, “Performance analysis of double threshold energy detection-based spectrum sensing in low SNRs over Nakagami-m fading channels with noise uncertainty”, IEEE conference on Signal Processing and Communication Application (SIU), 2016, pp: 309-312.
  • S. Atapattu, C. Tellambura And H. Jiang, “Spectrum sensing via energy detector in low snr”, 2011 IEEE International Conference on Communications (ICC), June 2011, pp. 1-5.
  • J. Zhu, Z. Xu, F. Wang, B. Huang, B. Zhang, "Double threshold energy detection of cooperative spectrum sensing in cognitive radio", IEEE CrownCom, pp. 15, Singapore, May 2008.
  • N. Pillay and H.J. Xu, “Bling eigenvalue-based spectrum sensing for cognitive radio networks" IET Commun., 2012, Vol. 6, Iss. 11, pp. 1388–1396.
  • N. Han, S. H. Shon, J. O. Joo, and J. M. Kim, “Spectral correlation based signal detection method for spectrum sensing in IEEE 802.22 WRAN systems," Intern. Conf. Advanced Commun. Technology, Korea, Feb. 2006.
  • Y. Zeng and Y.-C. Liang , "Eigenvalue-based spectrum sensing algorithms for cognitive radio" , IEEE Trans. Commun. , vol. 57 , no. 6 , pp.1784 -793 , 2009
  • Z.Ye, G.Memik, and J.Grosspietsch, "Energy Detection using Estimated Noise Variance for Spectrum Sensing in Cognitive Radio Networks, " in Wireless Communications and Networking Conference 2008.Las Vegas, USA: IEEE Communications Society, Mar.-Apr.2008.
There are 10 citations in total.

Details

Subjects Engineering
Journal Section Research Article
Authors

Amir Eslami

Saeid Karamzadeh

Publication Date December 1, 2016
Published in Issue Year 2016 Special Issue (2016)

Cite

APA Eslami, A., & Karamzadeh, S. (2016). Proposal and Analysis of a New Spectrum Sensing Algorithm for Cognitive Radio Driven Hospitals. International Journal of Applied Mathematics Electronics and Computers(Special Issue-1), 48-51. https://doi.org/10.18100/ijamec.263962
AMA Eslami A, Karamzadeh S. Proposal and Analysis of a New Spectrum Sensing Algorithm for Cognitive Radio Driven Hospitals. International Journal of Applied Mathematics Electronics and Computers. December 2016;(Special Issue-1):48-51. doi:10.18100/ijamec.263962
Chicago Eslami, Amir, and Saeid Karamzadeh. “Proposal and Analysis of a New Spectrum Sensing Algorithm for Cognitive Radio Driven Hospitals”. International Journal of Applied Mathematics Electronics and Computers, no. Special Issue-1 (December 2016): 48-51. https://doi.org/10.18100/ijamec.263962.
EndNote Eslami A, Karamzadeh S (December 1, 2016) Proposal and Analysis of a New Spectrum Sensing Algorithm for Cognitive Radio Driven Hospitals. International Journal of Applied Mathematics Electronics and Computers Special Issue-1 48–51.
IEEE A. Eslami and S. Karamzadeh, “Proposal and Analysis of a New Spectrum Sensing Algorithm for Cognitive Radio Driven Hospitals”, International Journal of Applied Mathematics Electronics and Computers, no. Special Issue-1, pp. 48–51, December 2016, doi: 10.18100/ijamec.263962.
ISNAD Eslami, Amir - Karamzadeh, Saeid. “Proposal and Analysis of a New Spectrum Sensing Algorithm for Cognitive Radio Driven Hospitals”. International Journal of Applied Mathematics Electronics and Computers Special Issue-1 (December 2016), 48-51. https://doi.org/10.18100/ijamec.263962.
JAMA Eslami A, Karamzadeh S. Proposal and Analysis of a New Spectrum Sensing Algorithm for Cognitive Radio Driven Hospitals. International Journal of Applied Mathematics Electronics and Computers. 2016;:48–51.
MLA Eslami, Amir and Saeid Karamzadeh. “Proposal and Analysis of a New Spectrum Sensing Algorithm for Cognitive Radio Driven Hospitals”. International Journal of Applied Mathematics Electronics and Computers, no. Special Issue-1, 2016, pp. 48-51, doi:10.18100/ijamec.263962.
Vancouver Eslami A, Karamzadeh S. Proposal and Analysis of a New Spectrum Sensing Algorithm for Cognitive Radio Driven Hospitals. International Journal of Applied Mathematics Electronics and Computers. 2016(Special Issue-1):48-51.

Cited By