MURAL - Maynooth University Research Archive Library



    Iterative power control and multiuser detection with outage probability constraints


    Papandriopoulos, John and Evans, Jamie S. and Dey, Subhrakanti (2003) Iterative power control and multiuser detection with outage probability constraints. In: IEEE International Conference on Communications, 2003. ICC '03. IEEE, pp. 2509-2513. ISBN 0780378024

    [img]
    Preview
    Download (274kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    This paper proposes a new scheme coupling power control with a minimum outage probability multiuser detector. The resultant iterative algorithm is conceptually simple and finds the minimum sum transmission power of all users with a set of outage probability constraints. Bounds on the outage probability expression are found that extend a previous result that did not include receiver noise. These bounds are used to create a suboptimal scheme coupling power control and a MMSE multiuser detector. This new problem becomes a variant of an existing problem where outage probability constraints are first mapped to average SIR threshold constraints. Simulation results are presented showing the closeness of the two schemes and speed of convergence.

    Item Type: Book Section
    Additional Information: Cite as: J. Papandriopoulos, J. Evans and S. Dey, "Iterative power control and multiuser detection with outage probability constraints," IEEE International Conference on Communications, 2003. ICC '03., 2003, pp. 2509-2513 vol.4, doi: 10.1109/ICC.2003.1204399.
    Keywords: iterative power control; multiuser detection; outage probability constraints; minimum sum transmission power; suboptimal scheme coupling power control; MMSE; minimum mean square error; SIR threshold constraints; signal-to-interference ratio;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14446
    Identification Number: https://doi.org/10.1109/ICC.2003.1204399
    Depositing User: Subhrakanti Dey
    Date Deposited: 20 May 2021 14:49
    Publisher: IEEE
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year