Modeling and Analysis for Reactive-Decision Spectrum Handoff in Cognitive Radio Networks

Wang, Chung-Wei; Wang, Lichun; Adachi, Fumiyuki

doi:10.1109/glocom.2010.5683644

Cited by 83 publications

(73 citation statements)

References 16 publications

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“…C.-W. Wang, L.-C. Wang, and F. Adachi, [3] has proposed a Markov transition model integrating with the PRP M/G/1 queuing network to characterize the multiple handoffs delay. During the whole transmission period a secondary user may undergo several spectral handoff's due to several interruption by the primary users.…”

Section: Different Spectrum Handoff Techniquesmentioning

confidence: 99%

A Survey on Spectral Handoff Mechanisms for the Cognitive Radio Network

Vinay¹

2015

IJRITCC

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Abstract-In a cognitive radio network, the cognitive radio (CR) devices also called as secondary users (SU's) need to change their operating frequency due to the inclusion of primary user (PU) in that frequency band. Thus when a PU arrives in a frequency band and asks for a channel in that band, it gets that band and occupies the channel which may be occupied by a SU. In this situation, the SU needs to find another channel in a different frequency band which leads to the spectral handoff. Thus in addition to the location based handoff's for the SU, spectral handoff also occur. This spectral handoff may be done several times for the SU. Thus this situation leads to the study of handoff mechanism. This paper carries out a survey of the handoff types and their mechanisms which have been already conceptualized.

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Section: Different Spectrum Handoff Techniquesmentioning

confidence: 99%

A Survey on Spectral Handoff Mechanisms for the Cognitive Radio Network

Vinay¹

2015

IJRITCC

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“…Most of MAC protocol design for spectrum handoff falls into two categories based on the moment when SUs carry out spectrum handoffs. In the first category, SUs perform channel switching after detecting the reappearances of PUs, namely the reactive approach [3][4] [5]. In the other category, SUs predict the future PU channel activities based on observed channel usage statistics and perform spectrum handoffs before the disruptions with PU transmissions, namely the proactive approach [6] [7].…”

Section: Context/motivationsmentioning

confidence: 99%

Quadratic Greedy Algorithm for Multichannel Access in Cognitive Radio Network

Dahi¹,

Tabbane²

2014

IJCA

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Spectrum handoff is one of the main issues in cognitive radio networks. Spectrum handoff occurs when the owner of the spectrum or the primary user reclaims a channel already used opportunistically by a secondary user. Such handoff becomes more frequent especially in case of multichannel access since that in a wider band, a PU is likely to reclaim a part of the band more quickly. This process has a negative impact on the performance of SU transmission in terms of delay and link maintenance. In this paper, the problem of minimizing the secondary user handoff process because of primary user activity is underlined. An analytical formulation based on knapsack problem is established and a new spectrum selection scheme is proposed. The main idea is to maximize jointly the holding time and the achievable throughput of the selected channels. The performance of the proposed access model is investigated through numerical simulations. KeywordsHandoff, Holding Time, Rate, Knapsack problem, heuristic, quadratic greedy algorithm. CONTEXT/MOTIVATIONSCognitive radio (CR) technology is regarded as a promising solution to the spectrum scarcity problem. The key idea of this paradigm is to allow unlicensed Secondary Users (SUs) to utilize opportunistically "spectrum holes" with the main condition to not interfere with the licensed Primary User (PU) transmission.However, due to the spectrum varying nature of CR networks, unlicensed users are required to perform spectrum handoff (HO), which refers to the process that when the current channel used by an SU is no longer available, the SU needs to pause its on-going transmission, vacate that channel, and determine a new available channel to continue the transmission.Clearly, many interruptions from the primary users specially in case of multichannel access will result in multiple handoffs, thereby affects negatively the performance of the SU transmission in term of delay and link maintenance. In fact, in normal conditions of licensed usage, channel switching can cause a packet loss ratio of 3% [1], this ratio becomes worse in CR usage because of the unpredictable behavior of PU. Besides, handoff generates additional delay since for each frequency switching a sensing phase has to take place, additionally to channel evacuation and link set up.Although reducing the HO due to PU activity is crucial for secondary transmission, limited studies consider this issue compared with other functionalities (spectrum sensing, spectrum management, and spectrum sharing) [2] of CR networks.Moreover, in the literature, most of research works regarding spectrum handoff focused on the physical-layer impacts without considering the effect in the MAC layer. Most of MAC protocol design for spectrum handoff falls into two categories based on the moment when SUs carry out spectrum handoffs. In the first category, SUs perform channel switching after detecting the reappearances of PUs, namely the reactive approach However, either for reactive or proactive HO process when SUs perform spectrum handoffs a well...

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“…In those studies, two main spectrum handoff schemes were proposed: reactive and proactive. Through reactive approaches [17,18], SUs perform spectrum switching after detecting the arrival of a PU in the band, the target channel is then selected instantaneously. However, through proactive spectrum handoff approaches [19][20][21][22][23], SUs predict the channel availability status and perform spectrum switching before a PU occupies the channel.…”

Section: Spectrum Managementmentioning

confidence: 99%

Untitled

2012

IJWMN

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In the last decade, cognitive radio technology received a lot of consideration for spectrum optimization. This issue creates huge opportunities for interesting research and development in a wide range of applications. This paper presents a state of the art on cognitive radio researches especially works using multi-agent systems. We propose among others a classification of cognitive radio proposals based on multi-agent concept and point out the pros and cons for each of the described approach.

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Modeling and Analysis for Reactive-Decision Spectrum Handoff in Cognitive Radio Networks

Cited by 83 publications

References 16 publications

A Survey on Spectral Handoff Mechanisms for the Cognitive Radio Network

A Survey on Spectral Handoff Mechanisms for the Cognitive Radio Network

Quadratic Greedy Algorithm for Multichannel Access in Cognitive Radio Network

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