Mathematical Analysis of Secondary User Traffic in Cognitive Radio System

Heo, Junghyun; Shin, Jinwoo; Nam, Jihee; Lee, Yutae; Park, Joon Goo; Cho, Ho-Shin

doi:10.1109/vetecf.2008.266

Cited by 45 publications

(13 citation statements)

References 5 publications

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“…In [7], the preemptive priority queuing model is designed to analyze the SU traffic of CR system. The distributed non-real-time SU traffic enters a queue buffer in First-In First-Out (FIFO) manner when the server is busy with PU or earlier SU connections.…”

Section: Queuing Theory In Crmentioning

confidence: 99%

Increased Energy Efficiency via Delay-Tolerant Transmissions in Cognitive Radio Networks

Zhao

Friderikos

2013

NPA

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We are currently witnessing the emergence of two important trends in wireless networks, namely the increased usage of Internet like applications, many of them which are delay tolerant, and cognitive radio techniques. In this paper, the focus is on how to capitalize the delay tolerance of various applications (such as email, Peer to Peer networks, social networking & operating system updates and file transfers to mention just a few) to reduce the energy consumption in cognitive networks. Since it becomes feasible to estimate the Primary Users (PU) connections for the Secondary Users (SU) by contacting a trusted database containing the information of PU traffic, a scheme is proposed that explicitly utilize the distribution of SU traffic loads to provide load-balancing. By modeling the problem under investigation as an M/M/K/L queuing system, the performance of the SUs competition is analyzed under various traffic blocking thresholds and queuing delays. To this end, by optimizing the frequency channel utilization, the number of SU connection that can be accommodated simultaneously is derived. A wide set of numerical investigations reveal how message transmission delays and the use of available white spaces can reduce the energy consumption without affecting PU traffic.

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Section: Queuing Theory In Crmentioning

confidence: 99%

Increased Energy Efficiency via Delay-Tolerant Transmissions in Cognitive Radio Networks

Zhao

Friderikos

2013

NPA

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“…The throughput in Bauset et al (2009)-Kannappa & Saquib (2010 is defined as the average completion rate of SU connections which does not include the average duration of completed SU connections. In order to address this problem, the duration of completed SU connections is calculated in Heo (2008), however, the analytical results derived are not very accurate. A more compact and accurate expression of throughput is derived in .…”

Section: Reactive Spectrum Handoffmentioning

confidence: 99%

Opportunistic Spectrum Access in Cognitive Radio Network

Ahmed¹,

Faulkner²,

Gao³

2012

Foundation of Cognitive Radio Systems

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“…CR 기술은 소프트웨어 정의 라디오 (Software defined radio, SDR) [4] 중에 있다 [5,6] . [7][8][9][10][11][12][13][14][15] .…”

Section: ⅰ 서 론 전파 자원의 이용 효율을 극대화하는 방안으로unclassified

Efficient Radio Resource Allocation for Cognitive Radio Based Multi-hop Systems

Shin¹,

Min²,

Cho³

et al. 2012

The Journal of Korean Institute of Communications and Informati

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In this paper, a radio resource allocation scheme for a multi-hop relay transmission in cognitive radio (CR) system is proposed to support the employment of relay nodes in IEEE 802.22 standard for wireless regional area network (WRAN). An optimization problem is formulated to maximize the number of serving secondary users (SUs) under system constraints such as time-divided frame structure for multiplexing and a single resource-unit to every relay-hop. However, due to mathematical complexity, the optimization problem is solved with a sub-optimal manner instead, which takes three steps in the order of user selection, relay/path selection, and frequency selection. In the numerical analysis, this proposed solution is evaluated in terms of service rate denoting as the ratio of the number of serving SUs to the number of service-requesting SUs. Simulation results show the condition of adopting multi-hop relay and the optimum number of relaying hops by comparing with the performance of 1-hop system.

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Mathematical Analysis of Secondary User Traffic in Cognitive Radio System

Cited by 45 publications

References 5 publications

Increased Energy Efficiency via Delay-Tolerant Transmissions in Cognitive Radio Networks

Increased Energy Efficiency via Delay-Tolerant Transmissions in Cognitive Radio Networks

Opportunistic Spectrum Access in Cognitive Radio Network

Efficient Radio Resource Allocation for Cognitive Radio Based Multi-hop Systems

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