A fast low complexity method for optimal zero-forcing beamformer MU-MIMO system
dc.contributor.author | Dam, Hai Huyen Heidi | |
dc.contributor.author | Cantoni, A. | |
dc.contributor.author | Li, Bin | |
dc.date.accessioned | 2017-01-30T11:15:35Z | |
dc.date.available | 2017-01-30T11:15:35Z | |
dc.date.created | 2015-10-29T04:09:28Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Dam, H.H.H. and Cantoni, A. and Li, B. 2015. A fast low complexity method for optimal zero-forcing beamformer MU-MIMO system. IEEE Signal Processing Letters. 22 (9): pp. 1443-1447. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/9893 | |
dc.identifier.doi | 10.1109/LSP.2015.2407903 | |
dc.description.abstract |
This letter proposes a new algorithm for solving the optimal zero-forcing beamforming problem that maximizes the user achievable rate with restriction on the per-antenna element power constraints. An accelerated gradient method with step size search is proposed for solving the problem. For each iteration of the gradient approach, a quick one dimensional search is employed to obtain the step size. The advantage of the step-size search is that it is relatively fast and requires only a few calculations of the objective function. Design examples show that the proposed algorithm converges faster than the gradient approach and the accelerated gradient approach with a constant step size while achieving a low computational complexity. | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.title | A fast low complexity method for optimal zero-forcing beamformer MU-MIMO system | |
dc.type | Journal Article | |
dcterms.source.volume | 22 | |
dcterms.source.number | 9 | |
dcterms.source.startPage | 1443 | |
dcterms.source.endPage | 1447 | |
dcterms.source.issn | 1070-9908 | |
dcterms.source.title | IEEE Signal Processing Letters | |
curtin.department | Department of Mathematics and Statistics | |
curtin.accessStatus | Fulltext not available |
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