IEICE TRANSACTIONS on Communications
Potential Game Approach for Spectrum Sharing in Distributed Cognitive Radio Networks
Summary :
In a spectrum sharing system, lower-priority users are allowed to spatially reuse the spectrum allocated to higher-priority users as long as they do not disrupt communications of the latter. Therefore, to improve spectrum utilization, an important requirement for the former users is to manage the interference and ensure that the latter users can maintain reliable communications. In the present paper, a game theoretic framework of joint channel selection and power allocation for spectrum sharing in distributed cognitive radio networks is proposed. First, a utility function that captures the cooperative behavior to manage the interference and the satisfaction level to improve the throughput of the lower-priority users is defined. Next, based on the defined utility function, the proposed framework can be formulated as a potential game; thus, it is guaranteed to converge to a Nash equilibrium when the best response dynamic is performed. Simulation results show the convergence of the proposed potential game and reveal that performance improvements in terms of network throughput of the lower-priority users and outage probability of the higher-priority users can be achieved by the introduction of an adaptive coefficient adjustment scheme in the proposed utility function at the expense of the convergence to the Nash equilibrium.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.12 pp.3284-3292
- Publication Date
- 2010/12/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E93.B.3284
- Type of Manuscript
- Special Section PAPER (Special Section on Wireless Distributed Networks)
- Category
Authors
Keyword
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I Wayan MUSTIKA, Koji YAMAMOTO, Hidekazu MURATA, Susumu YOSHIDA, "Potential Game Approach for Spectrum Sharing in Distributed Cognitive Radio Networks" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 12, pp. 3284-3292, December 2010, doi: 10.1587/transcom.E93.B.3284.
Abstract: In a spectrum sharing system, lower-priority users are allowed to spatially reuse the spectrum allocated to higher-priority users as long as they do not disrupt communications of the latter. Therefore, to improve spectrum utilization, an important requirement for the former users is to manage the interference and ensure that the latter users can maintain reliable communications. In the present paper, a game theoretic framework of joint channel selection and power allocation for spectrum sharing in distributed cognitive radio networks is proposed. First, a utility function that captures the cooperative behavior to manage the interference and the satisfaction level to improve the throughput of the lower-priority users is defined. Next, based on the defined utility function, the proposed framework can be formulated as a potential game; thus, it is guaranteed to converge to a Nash equilibrium when the best response dynamic is performed. Simulation results show the convergence of the proposed potential game and reveal that performance improvements in terms of network throughput of the lower-priority users and outage probability of the higher-priority users can be achieved by the introduction of an adaptive coefficient adjustment scheme in the proposed utility function at the expense of the convergence to the Nash equilibrium.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.3284/_p
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@ARTICLE{e93-b_12_3284,
author={I Wayan MUSTIKA, Koji YAMAMOTO, Hidekazu MURATA, Susumu YOSHIDA, },
journal={IEICE TRANSACTIONS on Communications},
title={Potential Game Approach for Spectrum Sharing in Distributed Cognitive Radio Networks},
year={2010},
volume={E93-B},
number={12},
pages={3284-3292},
abstract={In a spectrum sharing system, lower-priority users are allowed to spatially reuse the spectrum allocated to higher-priority users as long as they do not disrupt communications of the latter. Therefore, to improve spectrum utilization, an important requirement for the former users is to manage the interference and ensure that the latter users can maintain reliable communications. In the present paper, a game theoretic framework of joint channel selection and power allocation for spectrum sharing in distributed cognitive radio networks is proposed. First, a utility function that captures the cooperative behavior to manage the interference and the satisfaction level to improve the throughput of the lower-priority users is defined. Next, based on the defined utility function, the proposed framework can be formulated as a potential game; thus, it is guaranteed to converge to a Nash equilibrium when the best response dynamic is performed. Simulation results show the convergence of the proposed potential game and reveal that performance improvements in terms of network throughput of the lower-priority users and outage probability of the higher-priority users can be achieved by the introduction of an adaptive coefficient adjustment scheme in the proposed utility function at the expense of the convergence to the Nash equilibrium.},
keywords={},
doi={10.1587/transcom.E93.B.3284},
ISSN={1745-1345},
month={December},}
Copy
TY - JOUR
TI - Potential Game Approach for Spectrum Sharing in Distributed Cognitive Radio Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 3284
EP - 3292
AU - I Wayan MUSTIKA
AU - Koji YAMAMOTO
AU - Hidekazu MURATA
AU - Susumu YOSHIDA
PY - 2010
DO - 10.1587/transcom.E93.B.3284
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2010
AB - In a spectrum sharing system, lower-priority users are allowed to spatially reuse the spectrum allocated to higher-priority users as long as they do not disrupt communications of the latter. Therefore, to improve spectrum utilization, an important requirement for the former users is to manage the interference and ensure that the latter users can maintain reliable communications. In the present paper, a game theoretic framework of joint channel selection and power allocation for spectrum sharing in distributed cognitive radio networks is proposed. First, a utility function that captures the cooperative behavior to manage the interference and the satisfaction level to improve the throughput of the lower-priority users is defined. Next, based on the defined utility function, the proposed framework can be formulated as a potential game; thus, it is guaranteed to converge to a Nash equilibrium when the best response dynamic is performed. Simulation results show the convergence of the proposed potential game and reveal that performance improvements in terms of network throughput of the lower-priority users and outage probability of the higher-priority users can be achieved by the introduction of an adaptive coefficient adjustment scheme in the proposed utility function at the expense of the convergence to the Nash equilibrium.
ER -
English
