Analysis of secondary user performance in cognitive radio networks with reactive spectrum handoff

Salameh, Osama; Turck, Koen De; Bruneel, Herwig; Blondia, Chris; Wittevrongel, Sabine

doi:10.1007/s11235-016-0250-7

Cited by 23 publications

(12 citation statements)

References 29 publications

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“…Also, note that, Mathematical Problems in Engineering intuitively, the SU blocking probability is expected to decrease as the maximum number K of sensing SUs increases. A detailed study of the impact of K on the CRN performance under Poisson PU arrivals and perfect spectrum sensing has been performed in [22]. In all the figures above, it can be seen that, for the highest considered value of c 1 � c 2 � 1000/s (when the system switches between the active and inactive states more quickly and the PU arrival process is thus less bursty), the performance measures of PUs and SUs are closest to the case of Poisson arrivals, whereas already indicated burstiness or time correlation is completely absent.…”

Section: Numerical Resultsmentioning

confidence: 99%

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Performance Evaluation of Cognitive Radio Networks with Imperfect Spectrum Sensing and Bursty Primary User Traffic

Salameh

Bruneel

Wittevrongel

2020

Mathematical Problems in Engineering

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In this paper, we introduce a four-dimensional continuous-time Markov chain model to evaluate the performance of cognitive radio networks. In such networks, secondary (unlicensed) users may opportunistically use the frequency channels not currently occupied by primary (licensed) users in order to increase the utilization of the wireless spectrum. Secondary users perform channel sensing before as well as during transmission in order not to interfere with primary users. The proposed model assumes that primary users arrive according to a bursty arrival process and moreover takes the possible occurrence of sensing errors (false alarms and misdetections) into account. Several performance measures including the collision rate between primary and secondary users, the blocking probabilities of primary or secondary users, and the mean delay of secondary users are derived and illustrated through numerical examples. The results show that the system performance strongly depends on the degree of burstiness in the arrival process of primary users. It is also observed that the quality of service of the primary network can be seriously compromised due to misdetection by secondary users.

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Section: Numerical Resultsmentioning

confidence: 99%

“…A steady-state analysis is conducted. In [22], Markov models were developed to study a multichannel CRN. Several performance measures are derived including the mean delay of the SUs, the variance of the SU delay, and the interruption probability of SUs by PU arrival.…”

Section: Related Work and Contributionmentioning

confidence: 99%

Performance Evaluation of Cognitive Radio Networks with Imperfect Spectrum Sensing and Bursty Primary User Traffic

Salameh

Bruneel

Wittevrongel

2020

Mathematical Problems in Engineering

Self Cite

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“…The stability condition is conjectured and verified by simulation in [8]. Salameh et al [9,10] consider models with limited number of sensing secondary users. Other queueing models of cognitive radio networks could be found in [11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 80%

“…Other queueing models of cognitive radio networks could be found in [11][12][13][14][15][16][17]. In [11][12][13]18], the service time distributions of primary and secondary customers are either restricted to Markovian distributions (exponential or phase-type distributions) and/or the assumption that the number of active secondary users are finite. In [14,15,17,[19][20][21][22][23], models with single channel are investigated.…”

Section: Introductionmentioning

confidence: 99%

Modified Erlang loss system for cognitive wireless networks

Morozov¹,

Rogozin²,

Nguyen³

et al. 2021

Preprint

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This paper considers a modified Erlang loss system for cognitive wireless networks and related applications. A primary user has preemptive priority over secondary users and the primary customer is lost if upon arrival all the channels are used by other primary users. Secondary users cognitively use idle channels and they can wait at an infinite buffer in cases idle channels are not available upon arrival or they are interrupted by primary users. We obtain explicit stability condition for the cases where arrival processes of primary users and secondary users follow Poisson processes and their service times follow two distinct arbitrary distributions. The stability condition is insensitive to the service time distributions and implies the maximal throughout of secondary users. For a special case of exponential service time distributions, we analyze in depth to show the effect of parameters on the delay performance and the mean number of interruptions of secondary users. Our simulations for distributions rather than exponential reveal that the mean number of terminations for secondary users is less sensitive to the service time distribution of primary users.

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“…In fact, cognitive radio is a cutting-edge technology in terrestrial networks [5][6][7]. However, the significant and unique features of acoustic networks such as long propagation delay and electromagnetic attenuation have brought new research challenges in investigating cognitive communication in underwater sensor networks [8].…”

Section: Introductionmentioning

confidence: 99%

On the fundamental limit to the use of cognitive radio in underwater acoustic sensor networks

Mridula

Ameer

2019

Telecommun Syst

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Cognitive communication is an effective solution to the spectrum scarcity issues in wireless networks. The underwater sensor networks are prone to large propagation delays which result in the fundamental limitation on introducing cognitive aspects in underwater scenario. This letter explores the fundamental limitation of using cognitive communication in large propagation delay underwater networks. This work proposes a method to find the optimal position of the secondary user, to minimize the interference to primary users, in an underwater cognitive acoustic network. The proposed method also considers the effect of channel randomness which is modeled using the log-normal shadowing model. The method can also be used to select and schedule the secondary user transmissions, from a set of secondary users, such that the interruption time to the primary users is minimized.

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Analysis of secondary user performance in cognitive radio networks with reactive spectrum handoff

Cited by 23 publications

References 29 publications

Performance Evaluation of Cognitive Radio Networks with Imperfect Spectrum Sensing and Bursty Primary User Traffic

Performance Evaluation of Cognitive Radio Networks with Imperfect Spectrum Sensing and Bursty Primary User Traffic

Modified Erlang loss system for cognitive wireless networks

On the fundamental limit to the use of cognitive radio in underwater acoustic sensor networks

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