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

Authors

  • Amir Eslami
  • Saeid Karamzadeh

DOI:

https://doi.org/10.18100/ijamec.263962

Keywords:

Wireless technology hospitals, Cognitive radio driven hospitals, Spectrum sensing, Energy detection, Double threshold energy detection, memory

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.

Downloads

Download data is not yet available.

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.

Downloads

Published

01-12-2016

Issue

Section

Research Articles

How to Cite

[1]
“Proposal and Analysis of a New Spectrum Sensing Algorithm for Cognitive Radio Driven Hospitals”, J. Appl. Methods Electron. Comput., pp. 48–51, Dec. 2016, doi: 10.18100/ijamec.263962.

Similar Articles

1-10 of 153

You may also start an advanced similarity search for this article.