A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints

B. Li, H.H. Dam, K.L. Teo, Antonio Cantoni

    Research output: Chapter in Book/Conference paperConference paper

    5 Citations (Scopus)

    Abstract

    © 2015 IEEE. Zero-forcing beamforming (ZFBF) is a popular pre-coding scheme for MIMO systems. Most of the studies in the literature are under total power constraints. However, the perantenna power constraints (PAPC) are more realistic. The state-of-the-art method is interior point method which is expensive to realize in practice due to the high computational complexity. Hence, a low complexity zero-forcing precoding scheme under the per-antenna power constraints is proposed in this paper. This is achieved by introducing a regularized dual method. Simulations are carried out to show the effectiveness of the proposed method, which has a low computational complexity. In addition, the algorithm can be implemented in parallel to further reduce the computational complexity.
    Original languageEnglish
    Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages3078-3082
    Volume2015-August
    ISBN (Print)9781467369978
    DOIs
    Publication statusPublished - 2015
    EventA low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints - South Brisbane, QLD
    Duration: 1 Jan 2015 → …

    Conference

    ConferenceA low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints
    Period1/01/15 → …

      Fingerprint

    Cite this

    Li, B., Dam, H. H., Teo, K. L., & Cantoni, A. (2015). A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 2015-August, pp. 3078-3082). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICASSP.2015.7178537