Distributed Dynamic Spectrum Leasing (D-DSL) for Spectrum Sharing over Multiple Primary Channels

El-Howayek, Georges; Jayaweera, Sudharman K.

doi:10.1109/twc.2010.110310.100638

Cited by 19 publications

(18 citation statements)

References 9 publications

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“…To take the activities of PUs into account, a dynamic spectrum leasing paradigm based on a game-theoretical framework has been proposed [103,104], which provides an incentive for the PUs to actively allow SUs' transmission.…”

Section: Spectrum Sharing Gamementioning

confidence: 99%

Ten years of research in spectrum sensing and sharing in cognitive radio

Zhou

Onunkwo

et al. 2012

J Wireless Com Network

216

117

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Cognitive radio (CR) can successfully deal with the growing demand and scarcity of the wireless spectrum. To exploit limited spectrum efficiently, CR technology allows unlicensed users to access licensed spectrum bands. Since licensed users have priorities to use the bands, the unlicensed users need to continuously monitor the licensed users' activities to avoid interference and collisions. How to obtain reliable results of the licensed users' activities is the main task for spectrum sensing. Based on the sensing results, the unlicensed users should adapt their transmit powers and access strategies to protect the licensed communications. The requirement naturally presents challenges to the implementation of CR. In this article, we provide an overview of recent research achievements of including spectrum sensing, sharing techniques and the applications of CR systems.

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Section: Spectrum Sharing Gamementioning

confidence: 99%

Ten years of research in spectrum sensing and sharing in cognitive radio

Zhou

Onunkwo

et al. 2012

J Wireless Com Network

216

117

View full text Add to dashboard Cite

show abstract

“…In [5], the authors introduced a cognitive multiple-access protocol where SUs sense and exploit idle channels to cooperate with the PUs for forwarding their packets to improve the PUs' quality of service (QoS), while the authors in [6] [7] [8] focused on designing spectrum sharing rules for SUs to efficiently and fairly share the vacant channels to forward their own packets. Another way for SUs to use the licensed spectrum is through spectrum auction [9] [10], spectrum trading [11] [42] or spectrum leasing [12] [13]. In [11], the trading mechanism is modeled as a market where PUs set the qualities and/or prices for their idle spectrums and SUs choose the spectrum with appropriate quality and/or cost.…”

Section: Introductionmentioning

confidence: 99%

“…In [11], the trading mechanism is modeled as a market where PUs set the qualities and/or prices for their idle spectrums and SUs choose the spectrum with appropriate quality and/or cost. Instead of getting virtual currency, in spectrum leasing [12] [13], PUs ask for cooperation from SUs by leasing a portion of spectrum to them, due to which the PUs' QoS is improved while SUs gain the right to access licensed spectrum.…”

Section: Introductionmentioning

confidence: 99%

“…Since PUs and SUs generally belong to different operators or service providers and pursue different objectives, SUs may not cooperate if cooperation cannot bring them benefits. Game theory, a well-developed mathematical tool that studies the interactions among rational users [14], has been used to analyze the cooperation behaviors among nodes in DSA networks [12] [43]. However, most of the existing game theoretic frameworks for DSA networks are based on the direct reciprocity model [12] [13] and repeated game [18], where the underlying assumption is that the game among a group of nodes is played for infinite times.…”

Section: Introductionmentioning

confidence: 99%

“…Game theory, a well-developed mathematical tool that studies the interactions among rational users [14], has been used to analyze the cooperation behaviors among nodes in DSA networks [12] [43]. However, most of the existing game theoretic frameworks for DSA networks are based on the direct reciprocity model [12] [13] and repeated game [18], where the underlying assumption is that the game among a group of nodes is played for infinite times. Nevertheless, this assumption is not true in reality since players need to change their partners frequently due to mobility or changes of environment.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Indirect-Reciprocity Reputation Game for Cooperation in Dynamic Spectrum Access Networks

Zhang

Chen

Liu

2012

IEEE Trans. Wireless Commun.

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Abstract-Cooperation is a promising approach to simultaneously achieve efficient utilization of spectrum resource and improve the quality of service of primary users in dynamic spectrum access networks. However, due to the selfish nature, secondary users may not act as cooperatively as primary users have expected. Therefore, how to stimulate the secondary users to play cooperatively is an important issue. In this paper, we propose a reputation-based spectrum access framework, where the cooperation stimulation problem is modeled as an indirect reciprocity game. In the proposed game, secondary users choose how to help primary users relay information and gain reputations, based on which they can access a certain amount of vacant licensed channels in the future. By formulating a secondary user's decision making as a Markov decision process, we obtain the optimal action rule, according to which the secondary user will use maximal power to help primary user relay data if the channel is not in an outage, and thus greatly improve the primary user's quality of service as well as the spectrum utilization efficiency. Moreover, we prove the uniqueness of stationary reputation distribution and theoretically derive the condition under which the optimal action rule is evolutionarily stable. Finally, simulation results are shown to verify the effectiveness of the proposed scheme.Index Terms-Indirect reciprocity, dynamic spectrum access, game theory, Markov decision process, evolutionarily stable strategy.

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References

2014

Signal Processing for Cognitive Radios

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Distributed Dynamic Spectrum Leasing (D-DSL) for Spectrum Sharing over Multiple Primary Channels

Cited by 19 publications

References 9 publications

Ten years of research in spectrum sensing and sharing in cognitive radio

Ten years of research in spectrum sensing and sharing in cognitive radio

An Indirect-Reciprocity Reputation Game for Cooperation in Dynamic Spectrum Access Networks

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