The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Num sistema de partilha de espectro, os utilizadores de prioridade mais baixa podem reutilizar espacialmente o espectro atribuído aos utilizadores de prioridade mais alta, desde que não interrompam as comunicações destes últimos. Portanto, para melhorar a utilização do espectro, um requisito importante para os primeiros utilizadores é gerir a interferência e garantir que os últimos utilizadores possam manter comunicações fiáveis. No presente artigo, é proposta uma estrutura teórica de jogos de seleção conjunta de canais e alocação de potência para compartilhamento de espectro em redes de rádio cognitivas distribuídas. Primeiro, é definida uma função de utilidade que captura o comportamento cooperativo para gerenciar a interferência e o nível de satisfação para melhorar o rendimento dos usuários de menor prioridade. A seguir, com base na função de utilidade definida, a estrutura proposta pode ser formulada como um jogo potencial; assim, é garantido que convergirá para um equilíbrio de Nash quando a melhor dinâmica de resposta for realizada. Os resultados da simulação mostram a convergência do jogo potencial proposto e revelam que melhorias de desempenho em termos de rendimento da rede dos usuários de menor prioridade e probabilidade de interrupção dos usuários de maior prioridade podem ser alcançadas pela introdução de um esquema de ajuste de coeficiente adaptativo no proposto função utilidade em detrimento da convergência para o equilíbrio de Nash.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
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
Copiar
@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},}
Copiar
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 -