A Stackelberg Model for Opportunistic Sensing in Cognitive Radio Networks

Habachi, Oussama; El-Azouzi, Rachid; Hayel, Yézékaël

doi:10.1109/twc.2013.032013.120559

Cited by 14 publications

(2 citation statements)

References 30 publications

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“…Game theory has also been used for CR security: in [18] and [19], it was used for antijamming defense; in [20], it was used for intelligent jamming of CR. A Bayesian hierarchical mechanism design for CRNs was studied in [21] and a Stackelberg model for opportunistic sensing was developed by [22]. Joint sensing and access has also been studied, for example in: [23], where an evolutionary game was used; and in [24], where Bayesian social learning with negative externality was investigated.…”

Section: Introductionmentioning

confidence: 99%

Fast Convergence Cooperative Dynamic Spectrum Access for Cognitive Radio Networks

Chiwewe

Hancke

2018

IEEE Trans. Ind. Inf.

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Cognitive radio and dynamic spectrum access can reform the way that radiofrequency spectrum is accessed. Problems of spectrum scarcity, coexistence and unreliable wireless communication that affect industrial wireless networks can be addressed. In this paper, a game theoretic dynamic spectrum access algorithm that improves upon on a hedonic coalition formation algorithm for spectrum sensing and access is presented. The modified algorithm is tailored for faster convergence and scalability and makes use of a novel simultaneous multi-channel sensing and access technique. Results to demonstrate the performance improvements of the adapted algorithm are presented and the use of different decision rules are investigated revealing that a conservative decision rule for exploiting spectrum opportunities performs better than an aggressive decision rule in most scenarios. The algorithm that was developed could be a key enabler for future cognitive radio networks.

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Section: Introductionmentioning

confidence: 99%

Fast Convergence Cooperative Dynamic Spectrum Access for Cognitive Radio Networks

Chiwewe

Hancke

2018

IEEE Trans. Ind. Inf.

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“…In [15], the authors studied energy efficient opportunistic spectrum access strategies for an orthogonal frequency division multiplexing OFDM-based CR networks with multiple SUs, where each subchannel is exclusively assigned to at most one SU to avoid interference among different SUs. We have addressed the multiuser problem in our previous paper [18] using game theory and Partially Observable Stochastic Game (POSG), a multiuser version of the POMDP. We illustrated the existence of a tradeoff between large packet delay, partially due to collisions between SUs, and high energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Optimal energy-delay tradeoff for opportunistic spectrum access in cognitive radio networks

2017

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Abstract-Cognitive radio (CR) has been considered as a promising technology to enhance spectrum efficiency via opportunistic transmission at link level. Basic CR features allow SUs to transmit only when the licensed primary channel is not occupied by PUs. However, waiting for idle time slot may include large packet delay and high energy consumption. We further consider that the SU may decide, at any moment, to use another dedicated way of communication (3G) in order to transmit its packets. Thus, we consider an Opportunistic Spectrum Access (OSA) mechanism that takes into account packet delay and energy consumption. We formulate the OSA problem as a Partially Observable Markov Decision Process (POMDP) by explicitly considering the energy consumption as well as packets' delay, which are often ignored in existing OSA solutions. Specifically, we consider a POMDP with an average reward criterion. We derive structural properties of the value function and we show the existence of optimal strategies in the class of the threshold strategies. For implementation purposes, we propose online learning mechanisms that estimate the PU activity and determine the appropriate threshold strategy on the fly. In particular, numerical illustrations validate our theoretical findings.

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Cognitive Heterogeneous Networks

Setoodeh¹,

Haykin²

2017

Fundamentals of Cognitive Radio

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A Stackelberg Model for Opportunistic Sensing in Cognitive Radio Networks

Cited by 14 publications

References 30 publications

Fast Convergence Cooperative Dynamic Spectrum Access for Cognitive Radio Networks

Fast Convergence Cooperative Dynamic Spectrum Access for Cognitive Radio Networks

Optimal energy-delay tradeoff for opportunistic spectrum access in cognitive radio networks

Cognitive Heterogeneous Networks

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