Experimental study of sensing performance metrics for cognitive radio network using software defined radio platform

Cognitive Radio (CR) is a promising technology in wireless communication for an enhanced utilization of limited spectral resources. It allows unlicensed or cognitive users (CUs) to sense the spectral environment and access a channel exhibiting negligible activity of licensed or primary users (PUs)....

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Main Authors: A. Rashid, Rozeha, Sarijari, Mohd. Adib, Fisal, Norsheila, Mahalin, Nur Hija
Format: Conference or Workshop Item
Published: 2011
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Online Access:http://eprints.utm.my/id/eprint/45851/
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spelling my.utm.458512017-08-29T00:39:39Z http://eprints.utm.my/id/eprint/45851/ Experimental study of sensing performance metrics for cognitive radio network using software defined radio platform A. Rashid, Rozeha Sarijari, Mohd. Adib Fisal, Norsheila Mahalin, Nur Hija TK Electrical engineering. Electronics Nuclear engineering Cognitive Radio (CR) is a promising technology in wireless communication for an enhanced utilization of limited spectral resources. It allows unlicensed or cognitive users (CUs) to sense the spectral environment and access a channel exhibiting negligible activity of licensed or primary users (PUs). Hence, spectrum sensing is a crucial task for a CU to perform in an opportunistic spectrum access (OSA) based CR network to avoid harmful interference to PU. Two main performances metrics that are crucial in the design of spectrum sensing are the probability of false alarm (P-fa) and the probability of detection (P-d). These metrics are used to define the CR system quality of service (QoS). The threshold to decide on the presence of PU and the sensing time needed for the CR system are also determined based on these metrics. This paper presents the design of measurement methods to experimentally acquire the P-fa and P-d curves based on locally captured data to determine the value of the threshold and sensing time. The implementation, experimentation and measurement are done using GNU Radio and universal software defined radio peripheral (USRP) software defined radio (SDR) platform as the cognitive radio testbed. Spectrum sensing was done based on energy detection. Each of the energy based detection measurement is repeated 1000 times to obtain an accurate estimation of P-fa and P-d. The findings show that the target Quality of Sevice (QoS) of P-fa, of 5% and P-d of 90% can be derived from the estimated sensing threshold of -39 dB and achieves a sensing time of 31.59 ms. 2011 Conference or Workshop Item PeerReviewed A. Rashid, Rozeha and Sarijari, Mohd. Adib and Fisal, Norsheila and Mahalin, Nur Hija (2011) Experimental study of sensing performance metrics for cognitive radio network using software defined radio platform. In: The International Conference On Informatics Engineering & Information Science (Icieis 2011). http://apps.webofknowledge.com.ezproxy.utm.my/Search.do?product=WOS&SID=Q1X85YxXCtZZKDY62ie&search_mode=GeneralSearch&prID=44a0482a-cf4f-4e35-9b4b-4255aac3a5c4
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
A. Rashid, Rozeha
Sarijari, Mohd. Adib
Fisal, Norsheila
Mahalin, Nur Hija
Experimental study of sensing performance metrics for cognitive radio network using software defined radio platform
description Cognitive Radio (CR) is a promising technology in wireless communication for an enhanced utilization of limited spectral resources. It allows unlicensed or cognitive users (CUs) to sense the spectral environment and access a channel exhibiting negligible activity of licensed or primary users (PUs). Hence, spectrum sensing is a crucial task for a CU to perform in an opportunistic spectrum access (OSA) based CR network to avoid harmful interference to PU. Two main performances metrics that are crucial in the design of spectrum sensing are the probability of false alarm (P-fa) and the probability of detection (P-d). These metrics are used to define the CR system quality of service (QoS). The threshold to decide on the presence of PU and the sensing time needed for the CR system are also determined based on these metrics. This paper presents the design of measurement methods to experimentally acquire the P-fa and P-d curves based on locally captured data to determine the value of the threshold and sensing time. The implementation, experimentation and measurement are done using GNU Radio and universal software defined radio peripheral (USRP) software defined radio (SDR) platform as the cognitive radio testbed. Spectrum sensing was done based on energy detection. Each of the energy based detection measurement is repeated 1000 times to obtain an accurate estimation of P-fa and P-d. The findings show that the target Quality of Sevice (QoS) of P-fa, of 5% and P-d of 90% can be derived from the estimated sensing threshold of -39 dB and achieves a sensing time of 31.59 ms.
format Conference or Workshop Item
author A. Rashid, Rozeha
Sarijari, Mohd. Adib
Fisal, Norsheila
Mahalin, Nur Hija
author_facet A. Rashid, Rozeha
Sarijari, Mohd. Adib
Fisal, Norsheila
Mahalin, Nur Hija
author_sort A. Rashid, Rozeha
title Experimental study of sensing performance metrics for cognitive radio network using software defined radio platform
title_short Experimental study of sensing performance metrics for cognitive radio network using software defined radio platform
title_full Experimental study of sensing performance metrics for cognitive radio network using software defined radio platform
title_fullStr Experimental study of sensing performance metrics for cognitive radio network using software defined radio platform
title_full_unstemmed Experimental study of sensing performance metrics for cognitive radio network using software defined radio platform
title_sort experimental study of sensing performance metrics for cognitive radio network using software defined radio platform
publishDate 2011
url http://eprints.utm.my/id/eprint/45851/
http://apps.webofknowledge.com.ezproxy.utm.my/Search.do?product=WOS&SID=Q1X85YxXCtZZKDY62ie&search_mode=GeneralSearch&prID=44a0482a-cf4f-4e35-9b4b-4255aac3a5c4
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score 13.18916