MURAL - Maynooth University Research Archive Library



    Energy-Efficient Zero-Forcing Precoding Design for Small-Cell Networks


    Vu, Quang-Doanh and Tran, Le-Nam and Farrell, Ronan and Hong, Een-Kee (2016) Energy-Efficient Zero-Forcing Precoding Design for Small-Cell Networks. IEEE Transactions on Communications, 64 (2). pp. 790-804. ISSN 0090-6778

    [img]
    Preview
    Download (1MB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    We consider small-cell networks with multiple antenna transceivers and base stations (BSs) cooperating to jointly design linear precoders to maximize the network energy efficiency, subject to a sum power and per-antenna power constraints at individual BSs, as well as user-specific quality of service (QoS) requirements. Assuming zero-forcing precoding, we formulate the problem of interest as a concave–convex fractional program to which we proposed a centralized optimal solution based on the prevailing Dinkelbach algorithm. To facilitate distributed implementations, we transform the design problem into an equivalent convex program using Charnes–Cooper’s transformation. Then, based on the framework of alternative direction method of multipliers (ADMM), we develop a decentralized algorithm, which is numerically shown to achieve fast convergence. Since BSs are generally power-hungry, it may be more energy-efficient if some BSs can be shut down, while still satisfying the QoS constraints. Toward this end, we investigate the problem of joint precoder design and BS selection, which is a mixed Boolean nonlinear program, and then provide an optimal solution by customizing the branch-and-bound method. For real-time applications, we propose a greedy algorithm which achieves near-optimal performance in polynomial time. Numerical results are provided to demonstrate the effectiveness of the proposed algorithms.

    Item Type: Article
    Keywords: Small-cell networks; energy efficiency; MIMO; joint design; ADMM; branch-and-bound;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 9573
    Identification Number: https://doi.org/10.1109/TCOMM.2015.2502941
    Depositing User: Dr. Ronan Farrell
    Date Deposited: 20 Jun 2018 14:14
    Journal or Publication Title: IEEE Transactions on Communications
    Publisher: IEEE
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year