A nash game algorithm for SIR-based power control in 3G wireless CDMA networks

Koskie, S.; Gajić, Zoran

doi:10.1109/tnet.2005.857068

Cited by 212 publications

(159 citation statements)

References 39 publications

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“…MBS to MUE Equation (1) MBS to FUE Equation (1) FBS to MUE Equation (2) FBS to FUE Equation ( 관찰, 학승, 행동할 수 있는 능력을 가지게 할 수 있다 [3] .…”

Section: 이러한 펨토셀의 무분별한 사용은 매크로셀 및 펨토unclassified

“…두 번째는 수신단에서의 잡음이나 Outage감소와 같은 환경변화에 대한 강인함이 있어야 한다 [3] . 게임이론을 적용한 전력제어 기법을 살펴보면, 분산적 게임이론 전력제어 기법을 Co-Channel 간섭에서 제안하고 부 채널(Sub channel)을 가지는 비협력 알고리즘을 이용 해 시스템 성능을 최대로 하는 전송전력을 할당하는 기법이 있다 [7] .…”

Section: 게임이론은 이미 다양한 분야에서 적용되어 사용unclassified

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Power Control Scheme Based on Non-Cooperative Game in a Heterogeneous Network

Bae¹,

Lee²,

Jang³

et al. 2014

The Journal of Korea Information and Communications Society

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We propose Femto-cell power control scheme in HeNet with Game Theory. The Femto-cell which provide high quality with low power is issued by many benefits, however there is a bunch of interferences when many Femto-cells use overlapped bandwidth with Macro-cell. We defined base station of cellular networks and mobile users as players of Game Theory, and configured interference effect among each other as power utility function.Futhermore, we showed enhanced overall system performance, lower power usage and interference decrease by using optimal power.

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“…MBS to MUE Equation (1) MBS to FUE Equation (1) FBS to MUE Equation (2) FBS to FUE Equation ( 관찰, 학승, 행동할 수 있는 능력을 가지게 할 수 있다 [3] .…”

Section: 이러한 펨토셀의 무분별한 사용은 매크로셀 및 펨토unclassified

Section: 게임이론은 이미 다양한 분야에서 적용되어 사용unclassified

Power Control Scheme Based on Non-Cooperative Game in a Heterogeneous Network

Bae¹,

Lee²,

Jang³

et al. 2014

The Journal of Korea Information and Communications Society

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“…There is conflicting interest in power control. Hence, it is appropriate to address power control of cellular networks within a non-cooperative game-theoretic framework [3], [23], [25], [30], [38]. To give incentive for a certain degree of cooperation among the users, they, in general, introduced a price-based mechanism to constrain the totally selfish utility.…”

Section: A Power Control In Wireless Networkmentioning

confidence: 99%

“…Therefore, to deploy an ad hoc network successfully in a self-organized manner, the issue of cooperation stimulation should be solved. Most of the existing works rely on a pricing mechanism as an incentive to a certain degree to facilitate cooperation among self-interested users in power control for cellular systems [2], [3], [18], [25], [30], [38], and ad hoc networks [19], [22]. However, such a pricing mechanism is often difficult to configure and implement in ad hoc networks, since there lacks a central controller or/and there is no single creditable node in wireless ad hoc networks.…”

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confidence: 99%

Non-cooperative power control for wireless ad hoc networks with repeated games

Long

Zhang

et al. 2007

IEEE J. Select. Areas Commun.

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Abstract-One of the distinctive features in a wireless ad hoc network is lack of any central controller or single point of authority, in which each node/link then makes its own decisions independently. Therefore, fully cooperative behaviors, such as cooperation for increasing system capacity, mitigating interference for each other, or honestly revealing private information, might not be directly applied. It has been shown that power control is an efficient approach to achieve quality of service (QoS) requirement in ad hoc networks. However, the existing work has largely relied on cooperation among different nodes/links or a pricing mechanism that often needs a third-party involvement. In this paper, we aim to design a non-cooperative power control algorithm without pricing mechanism for ad hoc networks. We view the interaction among the users' decision for power level as a repeated game. With the theory of stochastic fictitious play (SFP), we propose a reinforcement learning algorithm to schedule each user's power level. There are three distinctive features in our proposed scheme. First, the user's decision at each stage is self-incentive with myopic best response correspondence. Second, the dynamics arising from our proposed algorithm eventually converges to pure Nash Equilibrium (NE). Third, our scheme does not need any information exchange or to observe the opponents' private information. Therefore, this proposed algorithm can safely run in a fully selfish environment without any additional pricing and secure mechanism. Simulation study demonstrates the effectiveness of our proposed scheme.

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“…The importance of the feasibility and convergence check has been discussed in several papers, including for Cognitive Radio [13], Centralized [14], Distributed [15], Game Theory Power Control [16], Distributed Constrained Power Control [17] Generalized Distributed Constrained Power Control [18], in Femtocell [19] or in Macrocell [20], with Single channel or Multi channel [10].…”

Section: Introductionmentioning

confidence: 99%

Autonomous Distributed Power Control in Multi-Channel Cognitive Femtocell Network: Feasibility and Convergence

Isnawati¹,

Hidayat²,

Sulistyo³

et al. 2017

IJIES

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Dynamic user in mobile communication encourages the implementation of self-organized and noncooperative distributed power control. To be implemented, the power control must meet the feasible and convergent conditions. Feasibility of power control must be qualified for non-negative power vectors and the limit of maximum power, whereas convergence is tested by the speed for achieving of convergent conditions on fixed point. If it is feasible, then the system will be convergent, but when it is infeasible then the power transmit of user will be negative and the system is never reach the convergence. While the semi feasible condition requires the implementation of a proposed method of HDCPC. When power transmit of user exceeded the maximum power, Pmax, HDCPC method choose the transmit power that equal with ½ Pmax compared to use Pmax that required on DCPC or to force the user turned off the power transmit on GDCPC. Results showed that it would be more efficient in power usage than DCPC and more implementable than GDCPC. Proposed HDCPC is done when there is no option of handover channel, while the results after user move to another channel is able to achieve the SINR target and spent less power. Related to the convergence analysis, it can be concluded that the larger the SINR target, the longer iterations required to achieve a convergent condition.

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A nash game algorithm for SIR-based power control in 3G wireless CDMA networks

Cited by 212 publications

References 39 publications

Power Control Scheme Based on Non-Cooperative Game in a Heterogeneous Network

Power Control Scheme Based on Non-Cooperative Game in a Heterogeneous Network

Non-cooperative power control for wireless ad hoc networks with repeated games

Autonomous Distributed Power Control in Multi-Channel Cognitive Femtocell Network: Feasibility and Convergence

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