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dc.contributor.authorLi, Bin
dc.contributor.authorDam, Hai Huyen
dc.contributor.authorCantoni, Antonio
dc.contributor.authorTeo, Kok Lay
dc.date.accessioned2017-01-30T11:13:05Z
dc.date.available2017-01-30T11:13:05Z
dc.date.created2014-02-13T20:00:38Z
dc.date.issued2013
dc.identifier.citationLi, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/9508
dc.identifier.doi10.1007/s11590-013-0673-y
dc.description.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.

dc.publisherSpringer Verlag
dc.subjectPrimal-dual interior point method
dc.subjectPer-antenna power constraints
dc.subjectNewton method
dc.subjectZero-forcing beamforming
dc.titleA primal-dual interior point method for optimal zero-forcing beamformer design under per-antenna power constraints
dc.typeJournal Article
dcterms.source.volume2015
dcterms.source.issn18624472
dcterms.source.titleOptimization Letters
curtin.department
curtin.accessStatusFulltext not available


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