Proactive spectrum handoff performance evaluation model for Cognitive Radio

Kyryk, Maryan; Yanyshyn, Volodymyr

doi:10.1109/infocommst.2016.7905323

Cited by 5 publications

(6 citation statements)

References 6 publications

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“…111 As a result, a CR user can reconfiguration its RF front-end and execute spectrum switching before a PU appears on the channel. 112 The major disadvantage is that the performance of this technique depends on accurate prediction of PU traffic model. Take real IWSNs environment, for example, a CR user may not always be privy to information about PU traffic model due to certain policies which a CR user must respect.…”

Section: Pure Proactive Spectrum Handoff Strategymentioning

confidence: 99%

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A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

Oyewobi

Djouani

Kurien

2020

Trans Emerging Tel Tech

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Integral and crucial to performance of wireless sensor networks (WSNs), and specifically industrial wireless sensor network (IWSN) is stable, robust, reliable, and ubiquitous communications system. Though, wired communications system is suitable for industrial communications and is resilient to shadowing and multipath fading effects of industrial‐WSN environments, yet its wireless counterpart is a much preferred industrial communications technology due to reduced cost and high flexibility which it offers in comparison to wired communications. However, overcrowding of the industrial, scientific, and medical band, where IWSN is deployed together with other heterogeneous technologies, as well as resultant scarcity of usable frequency spectrum has restrained exclusive application of wireless technology for industrial communications. Nonetheless, cognitive radio (CR) has ability to increase spectrum utilization efficiency and channel capacity for industrial wireless communications (IWC) through opportunistic/dynamic spectrum access (DSA) technique. In this review article, we examine how DSA can benefit IWC through exploitation of new perspectives of white space definitions in the licensed bands as well as unlicensed bands. While discussing the potential of DSA for IWC, we have considered the unique characteristics of IWC as well as technical challenges and issues imposed by industrial‐WSN. Accordingly, we have suggested and proffered appropriate CR‐based solutions in mitigating some of the challenges where necessary.

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Section: Pure Proactive Spectrum Handoff Strategymentioning

confidence: 99%

“…TA B L E 3 Summary of different spectrum handoff strategies 85,105,[107][108][109][111][112][113][114]…”

Section: Comparison Of Different Spectrum Handoff Strategiesmentioning

confidence: 99%

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

Oyewobi

Djouani

Kurien

2020

Trans Emerging Tel Tech

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“…Under a delay constraint of SU, a proactive spectrum handoff algorithm-based optimal PSTT OSA scheme was proposed in [6]. The politics of proactive CH was discussed in [7]. A preemptive resume priority queuing model for graded SU was developed in [8], with which a traffic adaptive spectrum handoff strategy was put forward to minimize handoff delay.…”

Section: Introductionmentioning

confidence: 99%

On multiple handoff blocking‐then‐reaccess for opportunistic spectrum access

Zhang,

Liang,

Gao

et al. 2024

IET Communications

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Opportunistic spectrum access (OSA), a promising technology to resolve radio spectrum scarcity, is still faced with some challenges, of which one is potentially frequent channel handoff (CH) even handoff blocking (HB) for secondary user (SU) to avoid primary user (PU). Reaccess is a direct way to resolve HB. However, multiple handoff blocking‐then‐reaccess (H‐BTR) are time consuming. Whether it is worthwhile to make multiple H‐BTR, is an interesting but hardly mentioned issue. To this end, the multiple H‐BTR‐based OSA are focused on here. Three key indices, the average transmission probability, handoff delay, and average reaccess times of SU in the H‐BTR‐based OSA, are deduced as close form first. Then, the effects of H‐BTR frequency and service traffic rate of SU on OSA are discussed. Finally, the H‐BTR‐based OSA is compared to two other schemes, the handoff without BTR (HWBTR)‐based OSA and the stop‐and‐waiting (SW)‐based OSA. Theoretical and simulated results show that the H‐BTR‐based OSA performs best among three schemes. Making H‐BTR in moderate frequency according to service traffic rate can increase transmission opportunity while additional delay of SU is tolerable, thus the performance of OSA can be well improved.

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“…To this end, it is necessary to model the CH for OSA before studying the throughput and delay. A proactive CH protocol was proposed and evaluated in [9]. Under a delay constraint of SU, a proactive CH algorithm together with an optimal PSTT scheme was proposed in [10].…”

Section: Introductionmentioning

confidence: 99%

Throughput‐delay tradeoff for opportunistic spectrum access in cognitive radio networks

Zhang,

Liang,

Gao

et al. 2023

IET Communications

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The internet of things accelerates the wireless connections of massive devices to provide all kinds of new services, and thus intensifies the spectrum scarcity and access delay. Cognitive radio (CR) technology brings a solution for the issue. As a typical CR scheme, opportunistic spectrum access (OSA) has been addressed widely in the past decade. However, the tradeoff between two key indexes, the throughput of cognitive radio network (CRN) and the delay of secondary user (SU), is rarely mentioned so far, which ignites the authors’ work in this paper. Taking into account a channel handoff (CH) based multi‐channel OSA scenario, the authors first analyze the opportunistic transmission performance of SU, and model the throughput of CRN as well as the handoff delay of SU. Then, the authors build up a delay‐constraint throughput optimization problem, and thus formulate the throughput‐delay tradeoff for OSA. Finally, the optimal traffic rates of SU for a good throughput‐delay tradeoff are derived according to maximizing the throughput of CRN. Theoretical and simulated results show that to enhance the throughput and to reduce the delay do not conflict always. By well adjusting the traffic rates of SU according to the traffic rates of primary user, the throughput of CRN can be improved while the handoff delay can be kept under a given level.

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Proactive spectrum handoff performance evaluation model for Cognitive Radio

Cited by 5 publications

References 6 publications

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

On multiple handoff blocking‐then‐reaccess for opportunistic spectrum access

Throughput‐delay tradeoff for opportunistic spectrum access in cognitive radio networks

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