Hao Zhu

  1. Multi-User MIMO Scheduling in the Fourth Generation Cellular Uplink.

    Authors: Hao Zhu, Narayan Prasad, Honghai Zhang, Sampath Rangarajan
    Subjects: Networking and Internet Architecture
    Abstract

    In this paper, we consider resource allocation in the the fourth generation
    (4G) cellular uplink. Our focus is on 4G cellular systems that conform to the
    3GPP LTE standard and its enhancements, which are expected to be the
    predominant 4G cellular systems. In order to cater to an ever-increasing user
    traffic, the 4G uplink allows for precoded multi-stream (precoded MIMO)
    transmission from each scheduled user and also allows multi-user (MU)
    scheduling wherein multiple users can be assigned the same time-frequency
    resource.

  2. Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling.

    Authors: Georgios B. Giannakis, Hao Zhu, Geert Leus
    Subjects: Information Theory
    Abstract

    Solving linear regression problems based on the total least-squares (TLS)
    criterion has well-documented merits in various applications, where
    perturbations appear both in the data vector as well as in the regression
    matrix. However, existing TLS approaches do not account for sparsity possibly
    present in the unknown vector of regression coefficients. On the other hand,
    sparsity is the key attribute exploited by modern compressive sampling and
    variable selection approaches to linear regression, which include noise in the
    data, but do not account for perturbations in the regression matrix.

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