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Pregled bibliografske jedinice broj: 577149

Spectrum Sensing Algorithm for Cognitive Radio Networks for Dynamic Spectrum Access for IEEE 802.11 af standard


Dhope, Tanuja; Šimunić, Dina
Spectrum Sensing Algorithm for Cognitive Radio Networks for Dynamic Spectrum Access for IEEE 802.11 af standard // International journal of research and reviews in wireless sensor networks, 2 (2012), 1; 77-84 (podatak o recenziji nije dostupan, članak, znanstveni)


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Naslov
Spectrum Sensing Algorithm for Cognitive Radio Networks for Dynamic Spectrum Access for IEEE 802.11 af standard

Autori
Dhope, Tanuja ; Šimunić, Dina

Izvornik
International journal of research and reviews in wireless sensor networks (2047-0037) 2 (2012), 1; 77-84

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
IEEE 802.11 af; Hybrid detection method; digital dividend; energy detection; covariance based detection; TV white space; cognitive radio

Sažetak
Around the world static allocation of spectrum scheme is commonly used which is allocated to specific technology based services, such as mobile, fixed, broadcast, fixed satellite and mobile satellite services on exclusive basis. These wireless communication systems are representatives of 2G and 3G systems with all evolution phases towards 4G systems. The complexity of wireless networks requires a careful design, especially related to bandwidth and energy efficiency. Bandwidth efficiency is very important parameter, because it relates to frequency spectrum, which is naturally scarce resource. Many new wireless applications cannot be rolled out because of unavailability of free spectrum.The cognitive radio has been proposed as the future technology to meet the ever increasing demand of the radio spectrum by allocating the spectrum dynamically without causing interference to the licensed users. The digital dividend of 700MHz band opens the door for cognitive radio making broadband wireless access cheaper. But in cognitive radio, spectrum sensing is the fundamental problem. In this paper we describe the hybrid detection method which exploits the advantages of energy detection and covariance absolute value methods. The simulation shows that the proposed hybrid detection method exploiting TV white space outperformed energy detection and covariance absolute value method under Rayleigh time varying fading channel and is more insensitive to the type of input data.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
036-0363081-1649 - Istraživanje povećanja učinkovitosti bežičnih komunikacijskih sustava (Šimunić, Dina, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Dina Šimunić (autor)

Citiraj ovu publikaciju:

Dhope, Tanuja; Šimunić, Dina
Spectrum Sensing Algorithm for Cognitive Radio Networks for Dynamic Spectrum Access for IEEE 802.11 af standard // International journal of research and reviews in wireless sensor networks, 2 (2012), 1; 77-84 (podatak o recenziji nije dostupan, članak, znanstveni)
Dhope, T. & Šimunić, D. (2012) Spectrum Sensing Algorithm for Cognitive Radio Networks for Dynamic Spectrum Access for IEEE 802.11 af standard. International journal of research and reviews in wireless sensor networks, 2 (1), 77-84.
@article{article, author = {Dhope, Tanuja and \v{S}imuni\'{c}, Dina}, year = {2012}, pages = {77-84}, keywords = {IEEE 802.11 af, Hybrid detection method, digital dividend, energy detection, covariance based detection, TV white space, cognitive radio}, journal = {International journal of research and reviews in wireless sensor networks}, volume = {2}, number = {1}, issn = {2047-0037}, title = {Spectrum Sensing Algorithm for Cognitive Radio Networks for Dynamic Spectrum Access for IEEE 802.11 af standard}, keyword = {IEEE 802.11 af, Hybrid detection method, digital dividend, energy detection, covariance based detection, TV white space, cognitive radio} }
@article{article, author = {Dhope, Tanuja and \v{S}imuni\'{c}, Dina}, year = {2012}, pages = {77-84}, keywords = {IEEE 802.11 af, Hybrid detection method, digital dividend, energy detection, covariance based detection, TV white space, cognitive radio}, journal = {International journal of research and reviews in wireless sensor networks}, volume = {2}, number = {1}, issn = {2047-0037}, title = {Spectrum Sensing Algorithm for Cognitive Radio Networks for Dynamic Spectrum Access for IEEE 802.11 af standard}, keyword = {IEEE 802.11 af, Hybrid detection method, digital dividend, energy detection, covariance based detection, TV white space, cognitive radio} }

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