• 대한전기학회논문지:전력기술부문A
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• 제52권9호
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• pp.542-549
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• 2003

In this paper, a novel approach to generator maintenance scheduling strategy in competitive electricity markets based on non-cooperative dynamic game theory is presented. The main contribution of this study can be considered to develop a game-theoretic framework for analyzing strategic behaviors of generating companies (Gencos) from the standpoints of the generator maintenance-scheduling problem (GMP) game. To obtain the equilibrium solution for the GMP game, the GMP problem is formulated as a dynamic non-cooperative game with complete information. In the proposed game, the players correspond to the profit-maximizing individual Gencos, and the payoff of each player is defined as the profits from the energy market. The optimal maintenance schedule is defined by subgame perfect equilibrium of the game. Numerical results for two-Genco system by both proposed method and conventional one are used to demonstrate that 1) the proposed framework can be successfully applied in analyzing the strategic behaviors of each Genco in changed markets and 2) both methods show considerably different results in terms of market stability or system reliability. The result indicates that generator maintenance scheduling strategy is one of the crucial strategic decision-makings whereby Gencos can maximize their profits in a competitive market environment.

• 한국통신학회논문지
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• 제35권2B호
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• pp.269-278
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• 2010

클러스터링 프로토콜의 클러스터 간 주파수 간섭에서 클러스터 멤버는 자신의 전송률을 유지 또는 증가시키기 위해 많은 양의 에너지를 소비하여 노드 수명이 급격히 감소하는 문제가 있다. 이에 서로 다른 주파수를 사용하는 FDM 기반의 자원할당 정책이 요구된다. 본 논문에서는 클러스터 간 주파수 간섭 문제를 해결하기 위해 게임의 참여자간 자원협상문제를 다루는 게임이론을 사용하여 클러스터 간 합리적인 파워 전략을 제시하였다. 특히 각 클러스터가 이기적으로 주파수 자원을 점유하려는 경우를 가정한 비협조게임과 협상을 통해 주파수를 나누어 사용하는 협조게임의 관점에서 각각 분석하였다. 또한 시뮬레이션을 사용하여 협조게임과 비협조게임에서의 노드의 수명시간을 비교하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2007년도 하계종합학술대회 논문집
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• pp.195-196
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• 2007

The purpose of this paper is to analyze the resource allocation problem in a self organizing network from the viewpoint of game theory. The main focus is to suggest the model and analyze a power control algorithm in wireless ad-hoc networks using non cooperative games. Our approach is based on a model for the level of satisfaction and utility a wireless user in a self organizing network derives from using the system. Using this model, we show a distributed power control scheme that maximizes utility of each user in the network. Formulating this as a non-cooperative game we will show the feasibility of such power control as well as existence of the Nash Equilibrium achieved by the non-cooperative game.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권11호
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• pp.3674-3710
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• 2014

In this tutorial, we integrate the concept of cognitive radio technology into game theory and supermarket game theory to address the problem of resource allocation in multiuser multicarrier cognitive radio networks. In addition, multiuser multicarrier transmission technique is chosen as a candidate to study the resource allocation problem via game and supermarket game theory. This tutorial also includes various definitions, scenarios and examples related to (i) game theory (including both non-cooperative and cooperative games), (ii) supermarket game theory (including pricing, auction theory and oligopoly markets), and (iii) resource allocation in multicarrier techniques. Thus, interested readers can better understand the main tools that allow them to model the resource allocation problem in multicarrier networks via game and supermarket game theory. In this tutorial article, we first review the most fundamental concepts and architectures of CRNs and subsequently introduce the concepts of game theory, supermarket game theory and common solution to game models such as the Nash equilibrium and the Nash bargaining solution. Finally, a list of related studies is highlighted and compared in this tutorial.

• Ocean and Polar Research
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• 제30권2호
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• pp.173-180
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• 2008

This study demonstrates that cooperative management can provide more benefits than noncooperative management for Korea and Japan fishery. We have studied one management strategy, namely, fishing under joint maximization of net benefits in coastal waters of two countries, using a cooperative game theory. The present net return under non-cooperation amounts to 420,255 million won. However, if two countries cooperate one with another, this figure can get to 2,636,565 million won. We consider this to be an important conclusion as close management relationships have developed between the two countries since the establishment of the EEZ in 1996. The results of the study can also help balance resource conservation and the appropriate catch quota in each country.

• 한국컴퓨터정보학회논문지
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• 제23권3호
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• pp.25-31
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• 2018

In this paper, we consider the game theoretic approach to investigate the transmit power optimization problem where D2D users share the uplink of the cellular system. Especially, we formulate the transmit power optimization problem as a non cooperative power control game. In the user wide sense, each user may try to select its transmit power level so as to maximize its utility in a selfish way. In the system wide, the transmit power levels of all users eventually converge to the unique point, called Nash Equilibrium. We first formulate the transmit power optimization problem as a non cooperative power control game. Next, we examine the existence of Nash Equilibrium. Finally, we present the numerical example that shows the convergence to the unique transmit power level.

• 한국컴퓨터정보학회논문지
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• 제24권7호
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• pp.79-85
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• 2019

We investigate the D2D utility maximization in the cellular system. We focus on the non cooperative game theoretic approach to maximize the individual utility. Cellular system's perspective, interference from the D2D links must be limited to protect the cellular users. To accommodate this interference issue, utility function is first defined to control the individual D2D user's transmit power. More specifically, utility function includes the pricing which limits the individual D2D user's transmit power. Then, non cooperative power game is formulated to maximize the individual utility. Distributed algorithm is proposed to maximize the individual utility, while limiting the interference. Convergence of the proposed distributed algorithm is verified through computer simulation. Also the effect of pricing factor to SIR and interference is provided to show the performance of the proposed distributed algorithm.

• 대한전자공학회논문지TC
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• 제46권5호
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• pp.36-47
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• 2009

RFID의 리더와 태그간의 비가역성으로 인해 리더들이 밀집한 경우 리더간에 서로 간섭을 일으켜서 태그로부터 오는 신호의 SIR을 낮게 만들어 수신단에서 태그를 식별하지 못하는 RFID 주파수 간섭문제가 존재한다. 현재 이에 대한 해결 방법으로서 서로 다른 시간자원을 할당하는 TDM 기반의 방법들이 제안되고 있다. 그러나 대부분 리더들 간에 최적의 시간 할당을 구하는 것이 아닌 heuristic 스케줄링 알고리즘을 제안하고 있다. 이에 본 논문에서는 리더들 간의 주파수 간섭문제를 게임의 참여자간에 발생되는 이해관계를 해결하는 게임이론을 주파수 간섭문제에 적용함으로써 TDM을 사용하는 RFID 리더간에 발생되는 시간 자원 할당 문제를 사전 협약이 존재하는 협조 게임의과 협약이 존재하지 않는 비협조 게임의 내쉬 협상 해와 내쉬 균형 관점에서 해석해 보았다. 게임이론을 적용한 결과는 밀집리더환경에서는 협조게임의 내쉬 협상 해가 비협조게임의 내쉬 균형보다 더 큰 이득을 만들어 내는 것을 보여주고, 밀집 리더 환경에서의 최적의 시간할당량을 보여준다.

• 한국통신학회논문지
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• 제39B권11호
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• pp.771-778
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• 2014

본 논문에서는 이종네트워크에서 펨토셀의 전력제어 기법을 게임이론을 이용해 정의한다. 저전력으로 고품질의 통신환경을 제공하는 펨토셀은 여러 장점으로 인해 최근 이슈화 되고 있지만 다수의 펨토셀 사용은 매크로셀과의 같은 채널을 사용함으로 인한 많은 량의 간섭으로 작용한다. 게임이론의 적용을 위해 셀룰러 네트워크의 기지국 및 사용자를 게임을 하는 플레이어로 설정하고 서로에게 미치는 간섭 영향을 전력 효용함수로 모델링 하였다. 또한 최적의 전력을 사용하여 시뮬레이션을 통한 저전력 사용, 간섭량 감소 그리고 시스템 전체 성능 향상을 확인하였다.

• Journal of applied mathematics & informatics
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• 제26권1_2호
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• pp.337-347
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• 2008

Based on social welfare maximum theory, the optimal scale of power plants entering generation power market being is researched. A static non-cooperative game model for short-term optimization of power plants with different cost is presented. And the equilibrium solutions and the total social welfare are obtained. According to principle of maximum social welfare selection, the optimization model is solved, optimal number of power plants entering the market is determined. The optimization results can not only increase the customer surplus and improve power production efficiency, but also sustain normal profits of power plants and scale economy of power production, and the waste of resource can also be avoided. At last, case results show that the proposed model is efficient.