Auction based spectrum trading for cognitive radio networks

Name: Auction based spectrum trading for cognitive radio networks
Author: Tehrani, M. N., Uysal, Murat

İsim	Auction based spectrum trading for cognitive radio networks
Yazar	Tehrani, M. N., Uysal, Murat
Basım Tarihi:	2013-06
Basım Yeri	- IEEE
Konu	Sealed-bid ﬁrst-price auction, Spectrum sensing, cCognitive radio networks, Sensing-revenue trade-off
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1089-7798
Kayıt Numarası	78cdd3e7-ec05-4b44-8771-128c5fea7d48
Lokasyon	Electrical & Electronics Engineering
Tarih	2013-06
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	In this letter, we consider the shared used model in cognitive radio networks and design a spectrum trading method to maximize the total satisfaction of the Secondary Users (SUs) and revenue of the Wireless Service Provider (WSP). In our design, we consider the risk of imperfect spectrum sensing which causes the SUs miss the presence of licensed users and interfere with them. Taking into account this risk, we first propose a multi-unit sequential sealed-bid first-price auction to optimize the payoff of each SU. Then, we derive an expression for the total revenue of WSP and maximize it by optimizing the sensing time. Our results demonstrate that the proposed auction-based spectrum trading method brings better revenue than its counterparts.
DOI	10.1109/LCOMM.2013.043013.130371
Cilt	17

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Auction based spectrum trading for cognitive radio networks

Yazar Tehrani, M. N., Uysal, Murat

Basım Tarihi 2013-06

Basım Yeri - IEEE

Konu Sealed-bid ﬁrst-price auction, Spectrum sensing, cCognitive radio networks, Sensing-revenue trade-off

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1089-7798

Kayıt Numarası 78cdd3e7-ec05-4b44-8771-128c5fea7d48

Lokasyon Electrical & Electronics Engineering

Tarih 2013-06

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin In this letter, we consider the shared used model in cognitive radio networks and design a spectrum trading method to maximize the total satisfaction of the Secondary Users (SUs) and revenue of the Wireless Service Provider (WSP). In our design, we consider the risk of imperfect spectrum sensing which causes the SUs miss the presence of licensed users and interfere with them. Taking into account this risk, we first propose a multi-unit sequential sealed-bid first-price auction to optimize the payoff of each SU. Then, we derive an expression for the total revenue of WSP and maximize it by optimizing the sensing time. Our results demonstrate that the proposed auction-based spectrum trading method brings better revenue than its counterparts.

DOI 10.1109/LCOMM.2013.043013.130371

Cilt 17