Improvement of Multiple Antenna Sensing Technique for Detecting the White Space in a Spectrum Sharing System

Authors

Zachaeus Kayode Adeyemo
Ladoke Akintola University of Technology, Ogbomoso
Samson Iyanda Ojo
Ladoke Akintola University of Technology, Ogbomoso
Saheed Abiona Abolude
Ladoke Akintola University of Technology, Ogbomoso
Damilare Oluwole Akande
Ladoke Akintola University of Technology, Ogbomoso
Hammed O. Lasisi
Electrical and Electronics Engineering Department, Osun State University of Technology, Osogbo, Osun State, Nigeria.
DOI: https://doi.org/10.52549/ijeei.v10i3.3802
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Published: 27-09-2022 • Issue: Vol. 10 No. 3: September 2022 • Section: Regular paper

Abstract

Exact detection of White Space (WS) is one of the actions in a Spectrum Sharing System (SSS) to determine unused spectrum for proper utilization. However, exact detection of WS is being affected by channel impairments, resulting in harmful interference. The Existing Multiple Antenna Spectrum Sensing (EMASS) technique used in addressing this effect is characterized with noise uncertainty leading to low detection rate due to setting of thresholds that is based on noise variance. Hence, this paper proposes an Improved Multiple Antenna Spectrum Sensing (IMASS) for detecting the WS in a SSS. Various copies of licensed user’s signals are received through the unlicensed user antennas over different antenna configuration. The received signals are combined using a modified equal gain combiner and energy of the combined signal is determined using Parseval’s relation for a discrete time signal. The received signal is used to form a square matrix which is converted to covariance matrix. Characteristic equation is obtained from covariance matrix to determine the minimum eigenvalue. The ratio of energy to minimum eigenvalue of the received signal is obtained and used as test statistics. The IMASS technique is evaluated using Probability of Detection (PD) and Total Error Probability (TEP) by comparing with EMASS. The proposed IMASS technique gives better performance with higher PD and lower TEP values than EMASS at all different antenna configurations.

Keywords: White Space (WS); Total Error Probability (TEP); minimum eigenvalue; covariance matrix; Probability of Detection (PD)

Author Biographies

Zachaeus Kayode Adeyemo

Zachaeus K. Adeyemo obtained the B.Eng. and M. Eng. degrees in Electrical Engineering from University of Ilorin, Ilorin, Nigeria and his Ph.D. degree in Electronic and Electrical Engineering in 2009 from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso, Nigeria. Prof. Adeyemo is a professor of Communication Engineering at the Department of Electronic and Electrical Engineering, LAUTECH, Ogbomoso. He is a member of the IEEE and registered engineer, Council for the Regulation of Engineering in Nigeria (COREN). His research interest is on wireless communications.

Samson Iyanda Ojo

Samson I. Ojo obtained the B. Tech and M. Tech degrees in Electronic and Electrical Engineering in 2011 and 2018, respectively, from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso, Nigeria. He is a registered member of Council for the Regulation of Engineering in Nigeria (COREN). He obtained his Ph. D in communication Engineering in 2021 from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso, Nigeria. His research interest is on signal processing, diversity and cognitive radio.

 

Saheed Abiona Abolude
Saheed A. Abolude obtained his ND and HND in Electrical/Electronics Engineering from the Polytechnic, Ibadan in 1994 and 1997, respectively. He received his PGD in Electronic and Electrical Engineering in 2012 from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso. He his currently pursuing his M.Tech degree in Electronic and Electrical Engineering at LAUTECH, Ogbomoso. He is a registered member of Council for the Regulation of Engineering in Nigeria (COREN). His research interest is on spectrum sharing and multiple antenna spectrum sensing.
Damilare Oluwole Akande

Damilare O. Akande obtained his B. Tech and M. Tech degree in Electronic and Electrical Engineering from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso and Federal University of Technology, Akure, Nigeria in 2008 and 2012 respectively. He obtained his Ph. D degree from University Sans Malaysia, Malaysia in 2019. He is a member of Nigeria Society of Engineers and a registered member of COREN. His research interest is on signal processing, cooperative communications and MAC layer design.

Hammed O. Lasisi
Hammed O. Lasisi is a senior lecturer and researcher in the Department of Electrical and Electronics Engineering, Osun State University, Osogbo, Nigeria. He holds doctorate (Ph.D) and master’s degrees in Elecctrical and Electronics Engineering from University of Ilorin, Nigeria. His area of specialization is telecommunication and telegraphic engineering. He is a registered member of the Council for the Regulation of Engineering (COREN) in Nigeria

How to Cite

[1]
Z. K. Adeyemo, S. I. Ojo, S. A. Abolude, D. O. Akande, and H. O. Lasisi, “Improvement of Multiple Antenna Sensing Technique for Detecting the White Space in a Spectrum Sharing System”, IJEEI, vol. 10, no. 3, pp. 715–724, Sep. 2022, doi: 10.52549/ijeei.v10i3.3802.