Interior point method for optimum zero-forcing beamforming with per-antenna power constraints and optimal step size
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 constraints. An interior point method with optimal step size procedure is deve...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/29937 |
| _version_ | 1848752944377233408 |
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| author | Dam, Hai Huyen Heidi Cantoni, Antonio |
| author_facet | Dam, Hai Huyen Heidi Cantoni, Antonio |
| author_sort | Dam, Hai Huyen Heidi |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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 constraints. An interior point method with optimal step size procedure is developed in which the step size for the line search in the Newton search direction is calculated exactly for each iteration. This significantly enhances the efficiency associated with the line search. Design examples show that the proposed algorithm converges rapidly to the optimal solution with low computational complexity. |
| first_indexed | 2025-11-14T08:16:40Z |
| format | Journal Article |
| id | curtin-20.500.11937-29937 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:16:40Z |
| publishDate | 2015 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-299372017-09-13T15:29:35Z Interior point method for optimum zero-forcing beamforming with per-antenna power constraints and optimal step size Dam, Hai Huyen Heidi Cantoni, Antonio Interior point method Optimal step size Beamformer Per-antenna power constraints Optimum zero-forcing 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 constraints. An interior point method with optimal step size procedure is developed in which the step size for the line search in the Newton search direction is calculated exactly for each iteration. This significantly enhances the efficiency associated with the line search. Design examples show that the proposed algorithm converges rapidly to the optimal solution with low computational complexity. 2015 Journal Article http://hdl.handle.net/20.500.11937/29937 10.1016/j.sigpro.2014.06.028 Elsevier BV restricted |
| spellingShingle | Interior point method Optimal step size Beamformer Per-antenna power constraints Optimum zero-forcing Dam, Hai Huyen Heidi Cantoni, Antonio Interior point method for optimum zero-forcing beamforming with per-antenna power constraints and optimal step size |
| title | Interior point method for optimum zero-forcing beamforming with per-antenna power constraints and optimal step size |
| title_full | Interior point method for optimum zero-forcing beamforming with per-antenna power constraints and optimal step size |
| title_fullStr | Interior point method for optimum zero-forcing beamforming with per-antenna power constraints and optimal step size |
| title_full_unstemmed | Interior point method for optimum zero-forcing beamforming with per-antenna power constraints and optimal step size |
| title_short | Interior point method for optimum zero-forcing beamforming with per-antenna power constraints and optimal step size |
| title_sort | interior point method for optimum zero-forcing beamforming with per-antenna power constraints and optimal step size |
| topic | Interior point method Optimal step size Beamformer Per-antenna power constraints Optimum zero-forcing |
| url | http://hdl.handle.net/20.500.11937/29937 |