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    A primal-dual interior point method for optimal zero-forcing beamformer design under per-antenna power constraints

    Access Status
    Fulltext not available
    Authors
    Li, Bin
    Dam, Hai Huyen
    Cantoni, Antonio
    Teo, Kok Lay
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Li, Bin and Dam, Hai Huyen and Cantoni, Antonio and Teo, Kok Lay. 2013. A primal-dual interior point method for optimal zero-forcing beamformer design under per-antenna power constraints. Optimization Letters. 8 (6): pp. 1829-1843.
    Source Title
    Optimization Letters
    DOI
    10.1007/s11590-013-0673-y
    ISSN
    18624472
    URI
    http://hdl.handle.net/20.500.11937/9508
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we consider an optimal zero-forcing beamformer design problem in multi-user multiple-input multiple-output broadcast channel. The minimum user rate is maximized subject to zero-forcing constraints and power constraint on each base station antenna array element. The natural formulation leads to a nonconvex optimization problem. This problem is shown to be equivalent to a convex optimization problem with linear objective function, linear equality and inequality constraints and quadratic inequality constraints. Here, the indirect elimination method is applied to reduce the convex optimization problem into an equivalent convex optimization problem of lower dimension with only inequality constraints. The primal-dual interior point method is utilized to develop an effective algorithm (in terms of computational efficiency) via solving the modified KKT equations with Newton method. Numerical simulations are carried out. Compared to algorithms based on a trust region interior point method and sequential quadratic programming method, it is observed that the method proposed is much superior in terms of computational efficiency.

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      © 2016 American Institute of Mathematical Sciences. All rights reserved.In this paper, we consider the zero-forcing beamforming (ZFBF) under the per-antenna power constraints (PAPC). Our objective is to maximize the minimum ...
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      This paper proposes a new computational procedure for solving the optimal zero-forcing beamforming problem in multiple antenna channels that maximizes user achievable rate with restriction on the per-antenna element power ...
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