Cooperative Spectrum Sharing in Cognitive Radio Networks: A Game-Theoretic Approach

Wang, H.; Gao, Lin; Gan, Xiaoying; Wang, X.; Hossain, Ekram

doi:10.1109/icc.2010.5502052

Cited by 67 publications

(51 citation statements)

References 9 publications

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“…In this section, we will prove that the solution (13) and (20) can be considered to be an SE [18] . Property 1.…”

Section: Analyses Of the Stackelberg Equilibriummentioning

confidence: 99%

“…It aims to not only attract SUs to employ higher power levels for its transmission, but also maintain enough transmission time for itself to obtain more benefits. Inspired by [18], the utility function of PU is defined as…”

Section: Utility Functionmentioning

confidence: 99%

“…With a signal-to-noise rate (SNR) constraint, a distributed power control algorithm was proposed to allow all SUs to access the channel at the same time. In [18], a game-theoretical framework was proposed to investigate a power-adaptive cooperation mechanism in cognitive radio networks. However, the SUs performance requirement and power consumption for transmitting its own information were not taken into consideration.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Stackelberg Game for Spectrum Leasing in Cooperative Cognitive Radio Networks

Wang

Guan

Han

et al. 2013

Int. J. Autom. Comput.

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According to the property-rights model of cognitive radio, primary users (PUs) who own the spectrum resource have the right to lease part of spectrum to secondary users (SUs) in exchange for appropriate profit. In this paper, we propose a pricing-based spectrum leasing framework between one PU and multiple SUs. In this scenario, the PU attempts to maximize its utility by setting the price of spectrum. Then, the selected SUs have the right to decide their power levels to help PU s transmission, aiming to obtain corresponding access time. The spectrum leasing problem can be cast into a stackelberg game, where the PU plays the seller-level game and the selected SUs play the buyer-level game. Through analysis based on the backward induction, we prove that there exists a unique equilibrium in the stackelberg game with certain constraints. Numerical results show that the proposed pricing-based spectrum leasing framework is effective, and the performance of both PU and SUs is improved, compared to the traditional mechanism without cooperation.

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“…In this section, we will prove that the solution (13) and (20) can be considered to be an SE [18] . Property 1.…”

Section: Analyses Of the Stackelberg Equilibriummentioning

confidence: 99%

Section: Utility Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Stackelberg Game for Spectrum Leasing in Cooperative Cognitive Radio Networks

Wang

Guan

Han

et al. 2013

Int. J. Autom. Comput.

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“…Wang et al [32] propose two PU F(1) and one SU F(2) functionalities, namely, determination of PUs' and SUs' channel access time (F1.2) and relay selection (F1.3), as well as SUs' packet transmission (F2.3) in order to enhance the network performance of PUs (A1.2) and to provide dedicated channel access to SUs (A2.1) in distributed (C1.2) SU networks. The purpose is to maximize the PUs' and SUs' utility functions and in the presence of a PU communication node pair and SUs.…”

Section: Schemes That Use Game Theoretic Approachesmentioning

confidence: 99%

Spectrum Leasing in Cognitive Radio Networks: A Survey

Syed

Yau

2014

International Journal of Distributed Sensor Networks

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Cognitive Radio (CR) is a dynamic spectrum access approach, in which unlicensed users (or secondary users, SUs) exploit the underutilized channels (or white spaces) owned by the licensed users (or primary users, PUs). Traditionally, SUs are oblivious to PUs, and therefore the acquisition of white spaces is not guaranteed. Hence, a SU must vacate its channel whenever a PU reappears on it in an unpredictable manner, which may affect the SUs' network performance. Spectrum leasing has been proposed to tackle the aforementioned problem through negotiation between the PU and SU networks, which allows the SUs to acquire white spaces for a guaranteed period of time. Through spectrum leasing, the PUs and SUs enhance their network performances, and additionally PUs maximize their respective monetary gains.

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“…Thus, a sub-optimal solution is presented in [4]. This work was extended by [5] and [6] with different objectives for both primary and secondary networks.…”

Section: Introduction and Related Workmentioning

confidence: 99%

On Secondary User Transmission Schemes in Relay-Assisted Cognitive Radio Networks

Shalmashi

Slimane

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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We consider a cooperative cognitive radio network with one primary user and many secondary users. In each transmission frame, one secondary user is selected to act as a relay for the primary user and also transmits its own data. Three different schemes for the secondary user's transmission is studied, namely, time-splitting, superposition coding, and a combined scheme that takes advantages of both time-splitting and superposition coding schemes. We formulate the relay selection problem for each scheme with the objective of maximizing the secondary user's data rate while satisfying a pre-defined gain threshold for the primary user. This constraint provides an incentive for the primary user when allowing the secondary user access its licensed band. We obtain the optimal solution for this problem in each scheme, on which the relay selection is based on. Finally, we compare the performance of different schemes using Monte-Carlo simulations.

QC 20140312

Mobile and wireless communications Enablers for Twenty-twenty (2020) Information Society (METIS

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Cooperative Spectrum Sharing in Cognitive Radio Networks: A Game-Theoretic Approach

Cited by 67 publications

References 9 publications

A Stackelberg Game for Spectrum Leasing in Cooperative Cognitive Radio Networks

A Stackelberg Game for Spectrum Leasing in Cooperative Cognitive Radio Networks

Spectrum Leasing in Cognitive Radio Networks: A Survey

On Secondary User Transmission Schemes in Relay-Assisted Cognitive Radio Networks

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