MURAL - Maynooth University Research Archive Library



    A Power Control Game Based on Outage Probabilities for Multicell Wireless Data Networks


    Alpcan, Tansu and Basar, Tamer and Dey, Subhrakanti (2006) A Power Control Game Based on Outage Probabilities for Multicell Wireless Data Networks. IEEE Transactions on Wireless Communications, 5 (4). pp. 890-899. ISSN 1536-1276

    [img]
    Preview
    Download (1MB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    We present a game-theoretic treatment of distributed power control in CDMA wireless systems using outage probabilities. We first prove that the noncooperative power control game considered admits a unique Nash equilibrium (NE) for uniformly strictly convex pricing functions and under some technical assumptions on the SIR threshold levels. We then analyze global convergence of continuous-time as well as discretetime synchronous and asynchronous iterative power update algorithms to the unique NE of the game. Furthermore, we show that a stochastic version of the discrete-time update scheme, which models the uncertainty due to quantization and estimation errors, converges almost surely to the unique NE point.We finally investigate and demonstrate the convergence and robustness properties of these update schemes through simulation studies.

    Item Type: Article
    Keywords: Power control; communication systems; game theory; code division multiaccess; resource management; stochastic systems;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 12728
    Identification Number: https://doi.org/10.1109/TWC.2006.1618938
    Depositing User: Subhrakanti Dey
    Date Deposited: 09 Apr 2020 10:10
    Journal or Publication Title: IEEE Transactions on Wireless Communications
    Publisher: IEEE
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year