Throughput and Delay Bounds for Cognitive Transmissions

Borgonovo, F.; Cesana, Matteo; Fratta, Luigi

doi:10.1007/978-0-387-09490-8_16

Cited by 36 publications

(27 citation statements)

References 18 publications

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“…In [21], probabilistic methods have been used to evaluate the performance of PUs and SUs under different operation models. In [6,35,42], systems with SUs and PUs were modeled using priority queueing techniques. As mentioned above, we find the serverbreakdown model more appropriate for modeling such a system.…”

Section: Related Workmentioning

confidence: 99%

“…For a strategy (p, q), let TA(p, q) denote the conditional delay experienced by an SU that arrives when the PU band is available and TO(p, q) be the conditional delay experienced by an SU that arrives when the PU band is occupied 6 . The corresponding delay costs are given by JA(p, q) = αTA(p, q), and JO(p, q) = αTO(p, q).…”

Section: Nash Equilibriummentioning

confidence: 99%

“…As a building block for our analysis, 6 Note that TA and TO depend on both p and q, since these delays are a function of the previous SU arrivals that have occured. we obtain in Section 4.1 the conditional delay expressions TA and TO for a given strategy (p, q).…”

Section: Equilibrium Analysismentioning

confidence: 99%

“…In our analysis, we use the queue to represent the congestion effect incurred when a few SUs wish to use the same PU band. 2 We note that a number of recent works in the area of cognitive radio used "virtual" queues as a plausible model to capture SU congestion effects [6,35,42].…”

Section: Introductionmentioning

confidence: 99%

“…A system with SUs and PUs was modeled in [6] using the priority queueing model. While for a single PU band the two models are somewhat similar, we find the server-breakdown queueing model more natural and more appropriate for the multi-band case.…”

Section: Introductionmentioning

confidence: 99%

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Non-Cooperative Spectrum Access — The Dedicated vs. Free Spectrum Choice

Jagannathan

Menache

Modiano

et al. 2012

IEEE J. Select. Areas Commun.

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We consider a dynamic spectrum access system in which Secondary Users (SUs) choose to either acquire dedicated spectrum or to use spectrum-holes (white spaces) which belong to Primary Users (PUs). The tradeoff incorporated in this decision is between immediate yet costly transmission and free but delayed transmission (a consequence of both the possible appearance of PUs and sharing the spectrum holes with multiple SUs). We first consider a system with a single PU band, in which the SU decisions are fixed. Employing queueing-theoretic methods, we obtain explicit expressions for the expected delays associated with using the PU band. Based on that, we then consider self-interested SUs and study the interaction between them as a noncooperative game. We prove the existence and uniqueness of a symmetric Nash equilibrium, and characterize the equilibrium behavior explicitly. Using our equilibrium results, we show how to maximize revenue from renting dedicated bands to SUs. Finally, we extend the scope to a scenario with multiple PUs, show that the band-pricing analysis can be applied to some special cases, and provide numerical examples.

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Section: Related Workmentioning

confidence: 99%

Section: Nash Equilibriummentioning

confidence: 99%

Section: Equilibrium Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Non-Cooperative Spectrum Access — The Dedicated vs. Free Spectrum Choice

Jagannathan

Menache

Modiano

et al. 2012

IEEE J. Select. Areas Commun.

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Strategic spectrum occupancy for secondary users in cognitive radio networks with retrials

Wang

2017

Naval Research Logistics

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This article investigates joining strategies and admission control policy for secondary users (SUs) with retrial behavior in a cognitive radio (CR) system where a single primary user (PU) coexists with multiple SUs. Under a certain reward‐cost structure, SUs opportunistically access the PU band when it is not occupied by the PU. If the band is available upon arrival, an SU decides with a probability either to use the band immediately or to balk the system. If the band is occupied, the SU must decide whether to enter the system as a retrial customer or to leave the system. Once the PU requests for service, the service of SU being served, if any, will be interrupted, and the interrupted SU leaves the band and retries for service after a random amount of time. In this article, we study the equilibrium behavior of non‐cooperative SUs who want to maximize their benefit in a selfish, distributed manner with delay‐sensitive utility function. The socially optimal strategies of SUs are also derived. To utilize the PU band more efficiently and rationally, an admission control policy is proposed to regulate SUs who enter the system in order to eliminate the gap between the individually and socially optimal strategies.

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Delay performance analysis and access strategy design for a multichannel cognitive radio network

Xiao

Wang

et al. 2012

Chin. Sci. Bull.

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For a hierarchical cognitive radio network (CRN), the secondary users (SUs) may access the licensed spectrum opportunistically, whenever it is not occupied by the primary users (PUs). An important issue for this kind of CRN is the achievable qualityof-service (QoS) performance, such as traffic transmission delay, which is critical to the SUs' traffic experience. In this paper, we focus on the delay performance analysis of the SU system and the design of the corresponding optimal access strategy for the case of SUs sharing multiple licensed channels. In our analysis, the transmission of PU and SU traffic is modeled as M/G/1 queues. By merging the PU and SU traffic, we propose the model of a priority virtual queue on the licensed channels. Based on this model, we obtain the expected system delay expression for SU traffic through M/G/1 preemptive repeat priority queuing analysis. For the case of multiple licensed channel access, the access strategy is further investigated with respect to the expected system delay for SU traffic. By minimizing the expected transmission delay, the optimal access strategy is modeled as a nonlinear programming problem, which can be resolved by means of the classic Genetic Algorithm (GA). Numerical results validate our analysis and design of an optimal access strategy. Meanwhile, by considering the time taken by the GA approach, we can also adopt the inverse proportional access strategy to obtain near-optimal results in practice.cognitive radio network, preemptive repeat priority queuing, nonlinear programming, optimal access strategy Citation:Li X, Wang J, Li H S, et al. Delay performance analysis and access strategy design for a multichannel cognitive radio network.

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Throughput and Delay Bounds for Cognitive Transmissions

Cited by 36 publications

References 18 publications

Non-Cooperative Spectrum Access — The Dedicated vs. Free Spectrum Choice

Non-Cooperative Spectrum Access — The Dedicated vs. Free Spectrum Choice

Strategic spectrum occupancy for secondary users in cognitive radio networks with retrials

Delay performance analysis and access strategy design for a multichannel cognitive radio network

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