Prioritized Proactive Scheme for Spectrum Handoff Decision in Cognitive Radio Networks

Zahed, Salah; Awan, Irfan; Min, Geyong

doi:10.1109/bwcca.2012.62

Cited by 13 publications

(20 citation statements)

References 9 publications

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“…İlk durum, spektrumda birincil kullanıcıların varlığının tespit edilmesidir [49,50]. İkinci durum, iletişimin devam ettiği sırada kullanıcı hareketliliğinden dolayı ikincil kullanıcıların iletişimlerinin kesilmesidir [51][52][53]. Üçüncü durum ise, kullanılmakta olan spektrum kanalının gerekli olan en düşük hizmet kalitesini karşılayamamasıdır [54][55][56].…”

Section: Spektrum El Deği̇şti̇rme İşlemi̇ İçi̇n öNceli̇k Kuyruklari Ve Yapunclassified

Kablosuz Bi̇li̇şsel Radyo Ağlarinda Spektrum El Deği̇şti̇rme İçi̇n Önceli̇k Kuyruklari Ve Yapay Zekâ Tekni̇kleri̇

Bayrakdar¹,

Çalhan²

2017

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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ÖZBilişsel radyo, frekans bantlarındaki kullanılmayan ya da az kullanılan kısımların verimli bir biçimde kullanılmasını sağlayan yeni bir teknoloji olarak ortaya çıkmıştır. Kablosuz bilişsel radyo ağları, ikincil kullanıcılarının çeşitli sezme teknikleriyle frekans bantlarını dinleyerek spektrumun boş ya da az kullanılan kısımlarından fırsatçı bir şekilde yaralanmasını hedeflemektedir. Bu amaçla, ikincil kullanıcıların çeşitli sebeplerden dolayı kullandığı frekans kanalından diğer bir boş kanala geçiş işlemi spektrum el değiştirme olarak tanımlanmaktadır. Spektrum el değiştirme işleminin gerçekleştiği durumların başında, ikincil kullanıcılara tahsis edilen frekans kanallarının tekrar birincil kullanıcıların hizmetine sunulması durumu gelmektedir. Erişim noktaları tarafından karar verilen spektrum el değiştirme işlemi için çeşitli yöntem ve teknikler kullanılmaktadır. Öncelik kuyrukları, ikincil kullanıcıların kendi aralarındaki iletim sırasını belirlemek için oldukça önemlidir. Spektrum el değiştirme işleminin gerçekleşme kararının alınması için, yapay zekâ tekniklerinden yararlanılmaktadır. Bu çalışmada, kablosuz bilişsel radyo ağları tabanlı spektrum el değiştirme işlemi için öncelik kuyrukları ve yapay zekâ teknikleri ile ilgili yapılan çalışmalar incelenmiştir.Anahtar Kelimeler: Bilişsel radyo, spektrum el değiştirme, öncelik, yapay zekâ PRIORITY QUEUES AND ARTIFICIAL INTELLIGENCE TECHNIQUES FOR SPECTRUM HANDOFF IN WIRELESS COGNITIVE RADIO NETWORKS ABSTRACTCognitive radio has emerged as a new technology that provides usage of unused or under-utilized portions of frequency bands in an effective manner. Wireless cognitive radio networks aims to take advantage of vacant or under-utilized portions of the spectrum by allowing secondary users to sense the frequency bands with various sensing techniques in an opportunistic manner. Spectrum handoff is described as channel switching of secondary users while transmitting for a variety of reasons. Spectrum handoff process mostly occurs when a frequency channel allocated to secondary user is required to be utilized by primary users. Various methods and techniques are used for spectrum handoff process that is decided by access points. Priority queues are quite important for secondary users to determine the order of transmissions among themselves. For the decision of the realization of spectrum handoff process, artificial intelligence techniques are utilized. In this work, studies related to wireless cognitive radio based spectrum handoff process for priority queues and artificial intelligence techniques are investigated.

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Section: Spektrum El Deği̇şti̇rme İşlemi̇ İçi̇n öNceli̇k Kuyruklari Ve Yapunclassified

Kablosuz Bi̇li̇şsel Radyo Ağlarinda Spektrum El Deği̇şti̇rme İçi̇n Önceli̇k Kuyruklari Ve Yapay Zekâ Tekni̇kleri̇

Bayrakdar¹,

Çalhan²

2017

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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“…After monitoring all channels periodically to collect information about channel statistics it Is possible to decide the appropriate set of goal channels for future spectrum handoff based on long-term observation results [9][10][11][12][13][14][15][16].…”

Section: A Spectrum Handoffmentioning

confidence: 99%

“…The main contribution of this work is to develop a prioritized spectrum handoff scheme for CRNs in order to improve and manage the usage of licensed and unlicensed spectrum channels by primary users and secondary users. Previous work concentrates [20], [30], [31], [13], [16], [19], [32] on the behavior of the secondary users in the licensed spectrum band environment assuming that unlicensed spectrum bands are always saturated. As a result, they neglect the effect of unlicensed spectrum bands.…”

Section: B Users Prioritymentioning

confidence: 99%

Performance Evaluation of Cognitive Radio Networks under Licensed and Unlicensed Spectrum Bands

Zahed

Awan

Cullen

et al. 2014

2014 IEEE 28th International Conference on Advanced Information Networking and Applications

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One of the major challenges of Cognitive Radio (CRNs) is the spectrum handoff issue. Spectrum handoff happens when a Primary Users (PUs) appears in a spectrum band that is occupied by a Secondary User (SU). In such a case, SU should empty this spectrum band and perform a handoff procedure and search for an available free one. This process will be continued until the SU completes its data transmission. To avoid multiple spectrum handoffs, the spectrum handoff procedure should be performed in the unlicensed channels rather than the licensed channels. Thus, the number of handoffs can be reduced as no more spectrum handoffs will occur since all users have priority in this type of spectrum channel. This technique will help secondary users' QoS from degradation. This paper proposes a prioritized spectrum handoff decision scheme in a mixture spectrum environment of unlicensed and licensed channels, in order to reduce the handoff delay. The licensed channels in the proposed scheme have been modelled using a preemptive resume priority (PRP) M/M/C queue. In contrast, the unlicensed channels have been modelled using an M/M/C retrial priority queue. In order to examine the performance of the implemented model, the handoff and new SUs are considered with equal and different priorities. Experimental results show that the prioritized handoff scheme outperforms the other scheme in terms of average handoff delay under various traffic arrival rates as well as the number of licensed and unlicensed channels used.

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“…In this subsection, a M/G/1 queuing model is applied to describe the spectrum sharing behaviors between the PUs and SUs [6], [7]. The key features of the M/G/1 queuing model are described as follows.…”

Section: B System Queuing Modelmentioning

confidence: 99%

Total transmission delay minimization based spectrum selection scheme for heterogeneous cognitive radio networks

Chai

Guo

Qin

2014

2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)

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Cognitive radio networks (CRNs) are expected to improve spectrum utilization significantly by allowing secondary users (SUs) to opportunistically access licensed spectrum without affecting the normal communications of primary users (PUs). In a CRN scenario consisting of multiple heterogeneously integrated CRNs, the SUs with multiple interfaces may have to conduct network and spectrum selection for continuous data transmission. In this paper, a spectrum selection scheme is proposed which minimizes the total transmission delay of interrupted SUs in a heterogeneous CRN under the quality of service (QoS) constraints. Applying M/G/1 queue model, the waiting delay of SUs is calculated. Jointly considering the heterogeneous characteristics of CRNs, the transmission performance of target channels and the properties of queue model, the total transmission delay of SUs is formulated, and the candidate channel with the minimum total transmission delay is selected as the target channel. Numerical results demonstrate the efficiency of the proposed scheme.Index Terms-CRN, handoff, system time, M/G/1 queuing model

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Prioritized Proactive Scheme for Spectrum Handoff Decision in Cognitive Radio Networks

Cited by 13 publications

References 9 publications

Kablosuz Bi̇li̇şsel Radyo Ağlarinda Spektrum El Deği̇şti̇rme İçi̇n Önceli̇k Kuyruklari Ve Yapay Zekâ Tekni̇kleri̇

Kablosuz Bi̇li̇şsel Radyo Ağlarinda Spektrum El Deği̇şti̇rme İçi̇n Önceli̇k Kuyruklari Ve Yapay Zekâ Tekni̇kleri̇

Performance Evaluation of Cognitive Radio Networks under Licensed and Unlicensed Spectrum Bands

Total transmission delay minimization based spectrum selection scheme for heterogeneous cognitive radio networks

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