Performance Analyses of Energy Detection Based on Square-Law Combining in MIMO-OFDM Cognitive Radio Networks

Cognitive radio (CR) technology has the potential to detect and share the unutilized spectrum by enabling dynamic spectrum access. To detect the primary users’ (PUs) activity, energy detection (ED) is widely exploited due to its applicability when it comes to sensing a large range of PU signals, low...

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Autores principales:	Josip Lorincz, Ivana Ramljak, Dinko Begušić
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	energy detection spectrum sensing cognitive radio networks OFDM MIMO SLC Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/6ea707f1cc274af6a3cd7b2700b1b58f
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spelling	oai:doaj.org-article:6ea707f1cc274af6a3cd7b2700b1b58f2021-11-25T18:58:24ZPerformance Analyses of Energy Detection Based on Square-Law Combining in MIMO-OFDM Cognitive Radio Networks10.3390/s212276781424-8220https://doaj.org/article/6ea707f1cc274af6a3cd7b2700b1b58f2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7678https://doaj.org/toc/1424-8220Cognitive radio (CR) technology has the potential to detect and share the unutilized spectrum by enabling dynamic spectrum access. To detect the primary users’ (PUs) activity, energy detection (ED) is widely exploited due to its applicability when it comes to sensing a large range of PU signals, low computation complexity, and implementation costs. As orthogonal frequency-division multiplexing (OFDM) transmission has been proven to have a high resistance to interference, the ED of OFDM signals has become an important local spectrum-sensing (SS) concept in cognitive radio networks (CRNs). In combination with multiple-input multiple-output (MIMO) transmissions, MIMO-OFDM-based transmissions have started to become a widely accepted air interface, which ensures a significant improvement in spectral efficiency. Taking into account the future massive implementation of MIMO-OFDM systems in the fifth and sixth generation of mobile networks, this work introduces a mathematical formulation of expressions that enable the analysis of ED performance based on the square-law combining (SLC) method in MIMO-OFDM systems. The analysis of the ED performance was done through simulations performed using the developed algorithms that enable the performance analysis of the ED process based on the SLC in the MIMO-OFDM systems having a different number of transmit (Tx) and receive (Rx) communication branches. The impact of the distinct factors including the PU Tx power, the false alarm probability, the number of Tx and Rx MIMO branches, the number of samples in the ED process, and the different modulation techniques on the ED performance in environments with different levels of signal-to-noise ratios are presented. A comprehensive analysis of the obtained results indicated how the appropriate selection of the analyzed factors can be used to enhance the ED performance of MIMO-OFDM-based CRNs.Josip LorinczIvana RamljakDinko BegušićMDPI AGarticleenergy detectionspectrum sensingcognitive radio networksOFDMMIMOSLCChemical technologyTP1-1185ENSensors, Vol 21, Iss 7678, p 7678 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	energy detection spectrum sensing cognitive radio networks OFDM MIMO SLC Chemical technology TP1-1185
spellingShingle	energy detection spectrum sensing cognitive radio networks OFDM MIMO SLC Chemical technology TP1-1185 Josip Lorincz Ivana Ramljak Dinko Begušić Performance Analyses of Energy Detection Based on Square-Law Combining in MIMO-OFDM Cognitive Radio Networks
description	Cognitive radio (CR) technology has the potential to detect and share the unutilized spectrum by enabling dynamic spectrum access. To detect the primary users’ (PUs) activity, energy detection (ED) is widely exploited due to its applicability when it comes to sensing a large range of PU signals, low computation complexity, and implementation costs. As orthogonal frequency-division multiplexing (OFDM) transmission has been proven to have a high resistance to interference, the ED of OFDM signals has become an important local spectrum-sensing (SS) concept in cognitive radio networks (CRNs). In combination with multiple-input multiple-output (MIMO) transmissions, MIMO-OFDM-based transmissions have started to become a widely accepted air interface, which ensures a significant improvement in spectral efficiency. Taking into account the future massive implementation of MIMO-OFDM systems in the fifth and sixth generation of mobile networks, this work introduces a mathematical formulation of expressions that enable the analysis of ED performance based on the square-law combining (SLC) method in MIMO-OFDM systems. The analysis of the ED performance was done through simulations performed using the developed algorithms that enable the performance analysis of the ED process based on the SLC in the MIMO-OFDM systems having a different number of transmit (Tx) and receive (Rx) communication branches. The impact of the distinct factors including the PU Tx power, the false alarm probability, the number of Tx and Rx MIMO branches, the number of samples in the ED process, and the different modulation techniques on the ED performance in environments with different levels of signal-to-noise ratios are presented. A comprehensive analysis of the obtained results indicated how the appropriate selection of the analyzed factors can be used to enhance the ED performance of MIMO-OFDM-based CRNs.
format	article
author	Josip Lorincz Ivana Ramljak Dinko Begušić
author_facet	Josip Lorincz Ivana Ramljak Dinko Begušić
author_sort	Josip Lorincz
title	Performance Analyses of Energy Detection Based on Square-Law Combining in MIMO-OFDM Cognitive Radio Networks
title_short	Performance Analyses of Energy Detection Based on Square-Law Combining in MIMO-OFDM Cognitive Radio Networks
title_full	Performance Analyses of Energy Detection Based on Square-Law Combining in MIMO-OFDM Cognitive Radio Networks
title_fullStr	Performance Analyses of Energy Detection Based on Square-Law Combining in MIMO-OFDM Cognitive Radio Networks
title_full_unstemmed	Performance Analyses of Energy Detection Based on Square-Law Combining in MIMO-OFDM Cognitive Radio Networks
title_sort	performance analyses of energy detection based on square-law combining in mimo-ofdm cognitive radio networks
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/6ea707f1cc274af6a3cd7b2700b1b58f
work_keys_str_mv	AT josiplorincz performanceanalysesofenergydetectionbasedonsquarelawcombininginmimoofdmcognitiveradionetworks AT ivanaramljak performanceanalysesofenergydetectionbasedonsquarelawcombininginmimoofdmcognitiveradionetworks AT dinkobegusic performanceanalysesofenergydetectionbasedonsquarelawcombininginmimoofdmcognitiveradionetworks
_version_	1718410467236380672

Performance Analyses of Energy Detection Based on Square-Law Combining in MIMO-OFDM Cognitive Radio Networks

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