Modeling and Analysis of Spectrum Handoffs for Real-Time Traffic in Cognitive Radio Networks

Hou, Ling; Yeung, K.H.; Wong, Kin-Yeung

doi:10.1109/candar.2013.74

Cited by 12 publications

(8 citation statements)

References 10 publications

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“…Target channel selection process as a part of spectrum handoff can be performed reactively or proactively. Reactive target channel selection gives accurate state of the channel due to real-time sensing [30,31,32], whereas proactive channel selection depends on accuracy of channel state prediction that plays important role in overall performance of spectrum handoff [11,12,13,14,15]. Due to fluctuating nature of radio environment and PU activities, the impact of false prediction cannot be ignored.…”

Section: Related Workmentioning

confidence: 99%

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Spectrum Handoff based on Imperfect Channel State Prediction Probabilities with Collision Reduction in Cognitive Radio Ad Hoc Networks

Shakeel

Hussain

Iqbal

et al. 2019

Sensors

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The spectrum handoff is highly critical as well as challenging in a cognitive radio ad hoc network (CRAHN) due to lack of coordination among secondary users (SUs), which leads to collisions among the SUs and consequently affects the performance of the network in terms of spectrum utilization and throughput. The target channel selection mechanism as part of handoff process can play an enormously significant role in minimizing the collisions among the SUs and improving the performance of a cognitive radio network (CRN). In this paper, an enhanced target channel selection scheme based on imperfect channel state prediction is proposed for the spectrum handoff among the SUs in a CRAHN. The proposed scheme includes an improved frame structure that increases coordination among the SUs in the ad hoc environment and helps in organizing the SUs according to the shortest job first principle during channel access. Unlike the existing prediction-based spectrum handoff techniques, the proposed scheme takes into account the accuracy of channel state prediction; the SUs affected due to false prediction are compensated by allowing them to contend for channel access within the same transmission cycle and thus enabling them to achieve higher throughput. The proposed scheme has been compared with the contemporary spectrum handoff schemes and the results have demonstrated substantial improvement in throughput and extended data delivery time by virtue of the reduced number of collisions.

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Section: Related Workmentioning

confidence: 99%

“…Coordination among SUs is not considered in this work. The authors of [31] presented an analytical framework to evaluate the effect of reactive spectrum handoff on real-time traffic in a CRN. The reactive sensing during target channel selection reduces the blocking and forced termination probabilities and improves the channel utilization.…”

Section: Related Workmentioning

confidence: 99%

Spectrum Handoff based on Imperfect Channel State Prediction Probabilities with Collision Reduction in Cognitive Radio Ad Hoc Networks

Shakeel

Hussain

Iqbal

et al. 2019

Sensors

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“…Temel olarak, frekans bandında herhangi bir ikincil kullanıcı iletim yaptığı sırada, spektrum bandı birincil kullanıcı tarafından kullanılacaksa spektrumun ikincil kullanıcı tarafından boşaltılması gerekmektedir [8]. Bu durumda, ikincil kullanıcının lisanslı spektrum bandını boşaltmak amacıyla iletimini sonlandırması veya kullanılmayan bir frekans bandına geçerek iletimine devam etmesi gerekmektedir [9][10]. İkincil kullanıcıların spektrum bandını boşaltmak için bir spektrum bandından diğerine geçerek iletimine devam etmesi spektrum el değiştirme işlemi olarak bilinmektedir.…”

Section: Introductionunclassified

Performance analysis of proactive decision spectrum handoff for MAC protocols in cognitive radio networks

Bayrakdar

Çalhan

2016

2016 24th Signal Processing and Communication Application Conference (SIU)

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Özetçe-Bilişselradyo teknolojisi, spektrum bantlarındaki kullanılmayan ya da nadiren kullanılan kısımların verimli bir şekilde kullanılmasını hedefleyen yeni bir ağ teknolojisidir. Bilişsel radyo ağlarında asıl amaç, ikincil kullanıcıların mevcut spektrum sezme teknikleriyle frekans bantlarını dinlemeleri ve spektrumun boş kısımlarından faydalanmalarıdır. İkincil kullanıcıların boş spektrum bantlarını kullandığı sırada; birincil kullanıcılar kendi kanallarını kullanmak isterse, ikincil kullanıcılar spektrum el değiştirme işlemi yapmak zorundadırlar. Spektrum el değiştirme işlemi temel olarak sezme tabanlı ve önceden tanımlı olmak üzere iki farklı şekilde gerçekleşmektedir. Bu çalışmada, ortam erişim kontrol protokolleri için önceden tanımlı spektrum el değiştirmenin başarım değerlendirmesi yapılmıştır. Önceden tanımlı spektrum el değiştirmede; ikincil kullanıcılar spektrum el değiştirme işlemi gerçekleştireceği zaman, önceden tanımlı olan boş kanallardan birisine geçiş yapmaktadırlar. Anahtar Kelimeler -bilişsel radyo; OEK protokolleri; önceden tanımlı; spektrum el değiştirme.Abstract-Cognitive radio technology is a new network technology that aims to utilize unused or rarely used spectrum bands efficiently. The main objective of cognitive radio networks is that secondary users sense the frequency band with available spectrum detection techniques and utilize unused parts of the spectrum. While secondary users use the empty spectrum bands; if primary users want to use their own channels, secondary users must carry out spectrum handoff process. Spectrum handoff process mainly happens in two different ways including sensing based and proactive decision based. In this study, performance evaluation of proactive decision spectrum handoff for medium access control protocols is made. In proactive decision spectrum handoff; when secondary users perform spectrum handoff process, they switch to one of the predefined empty channels.

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“…In [32] an analysis of this parameter in performance analysis of cognitive radio spectrum access with prioritized traffic was made. In [33] investigation was made in modeling and analysis of spectrum handoffs for real-time traffic in cognitive radio networks. In [31] this parameter was investigated in Spectrum handoff scheme based on recommended channel sensing sequence.…”

Section: Blocking Probability and Forced Termination Probability (Bpftp)mentioning

confidence: 99%

“…Efficient sensing orders proposed in [24,25] are highly sensitive to false alarm and misdetection probabilities. The misdetection probability (P m ) and false alarm probability (P f ) in CR networks [33] are defined as…”

Section: Probability Of Misdetection and False Alarm (Pmfa)mentioning

confidence: 99%

A Study on Quantitative Parameters of Spectrum Handoff in Cognitive Radio Networks

J¹,

Murugesh²

2017

IJWMN

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The innovation of wireless technologies requires dynamic allocation of spectrum band in an efficient manner. This has been achieved by Cognitive Radio (CR) networks which allow unlicensed users to make use of free licensed spectrum, when the licensed users are kept away from that spectrum. The cognitive radio makes decision, switching from primary user to secondary user and vice-versa, based on its built-in interference engine. It allows secondary users to makes use of a channel based on its availability i.e. on the absence of the primary user and they should vacate the channel once the primary user re-enters and continue their communication on another available channel and this process in the cognitive radio isknown as spectrum mobility. The main objective of spectrum mobility is that, there is no interruption caused due to the channel occupied by secondary users and maintains a good quality of service. In order to achieve better spectrum mobility, it is mandatory to choose an effective spectrum handoff strategy with the capability of predicting spectrum mobility. The handoff strategy with its parameters and its impact is an important concept in spectrum mobility but fairly explored. In this paper an empirical study on quantitative parameters involved in spectrum mobility prediction are discussed in detail. These parameters are studied extensively because they play a vital role in the spectrum handoff process moreover the impact of these parameters in various handoff methods can be used to predict the effectiveness of the system.

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Modeling and Analysis of Spectrum Handoffs for Real-Time Traffic in Cognitive Radio Networks

Cited by 12 publications

References 10 publications

Spectrum Handoff based on Imperfect Channel State Prediction Probabilities with Collision Reduction in Cognitive Radio Ad Hoc Networks

Spectrum Handoff based on Imperfect Channel State Prediction Probabilities with Collision Reduction in Cognitive Radio Ad Hoc Networks

Performance analysis of proactive decision spectrum handoff for MAC protocols in cognitive radio networks

A Study on Quantitative Parameters of Spectrum Handoff in Cognitive Radio Networks

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