An Ergodic Algorithm for the Power-Control Games for CDMA Data Networks |
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Authors: | Hideaki Iiduka Isao Yamada |
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Affiliation: | (1) Network Design Research Center, Kyushu Institute of Technology, Hibiya Kokusai Bldg. 1F 107, 2-2-3 Uchisaiwai-cho, Chiyoda-ku, Tokyo 100-0011, Japan;(2) Department of Communications and Integrated Systems, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan |
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Abstract: | In this paper, we consider power control for the uplink of a direct-sequence code-division multiple-access data network. In the uplink, the purpose of power control is for each user to transmit enough power so that it can achieve the required quality of service without causing unnecessary interference to other users in the system. One method that has been very successful in solving this purpose for power control is the game-theoretic approach. The problem for power control is modified as a Nash equilibrium problem in which each user can choose its transmit power in order to maximize its own utility, and a Nash equilibrium is an ideal solution of the power-control game. We present a noncooperative power-control game in which each user can choose the transmit power in a way that it gets the sufficient signal-to-interference-plus-noise ratio and maximizes its own utility. To ensure the existence of a solution, we also propose the variational inequality problem which is connected with the proposed game. On a linear receiver, we deal with the matched filter receiver. Next we present a new ergodic algorithm for the proposed power control because the existing iterative algorithms can not be applied effectively to the proposed power control. We also present convergence analysis for the proposed algorithm. In addition, applying the proposed algorithm to the proposed power control, we provide numerical examples for the transmit power, the signal-to-interference-plus-noise ratio and so on. Numerical results for the proposed algorithm shall show that as compared with the existing power-control game and its method, all users in the network can enjoy the sufficient signal-to-interference-plus-noise ratio and achieve the required quality of service. |
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Keywords: | Nash equilibrium problem Power control Variational inequality problem Nonexpansive mapping Utility function Ergodic algorithm |
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