A low-complexity zero-forcing beamformer design for multiuser MIMO systems via a dual gradient method
© 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 user information rate. Traditionally, ZFBF under PAPC with a max-min perform...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
American Institute of Mathematical Sciences
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/52104 |
| _version_ | 1848758847277105152 |
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| author | Li, Bin Dam, Hai Huyen Heidi Cantoni, A. |
| author_facet | Li, Bin Dam, Hai Huyen Heidi Cantoni, A. |
| author_sort | Li, Bin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 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 user information rate. Traditionally, ZFBF under PAPC with a max-min performance measure can be transformed into a second order cone problem and then solved by applying the interior point method. However, it is expensive to realize this design in practice due to high computational com-plexity per iteration. An alternative low complexity zero-forcing beamformer design is proposed for MU-MIMO systems by applying a dual gradient method. Different from the step size rule in the literature, a backtracking line search is adopted. A numerical example is provided to show the effectiveness of the proposed method. |
| first_indexed | 2025-11-14T09:50:29Z |
| format | Journal Article |
| id | curtin-20.500.11937-52104 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:50:29Z |
| publishDate | 2016 |
| publisher | American Institute of Mathematical Sciences |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-521042017-09-13T15:40:23Z A low-complexity zero-forcing beamformer design for multiuser MIMO systems via a dual gradient method Li, Bin Dam, Hai Huyen Heidi Cantoni, A. © 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 user information rate. Traditionally, ZFBF under PAPC with a max-min performance measure can be transformed into a second order cone problem and then solved by applying the interior point method. However, it is expensive to realize this design in practice due to high computational com-plexity per iteration. An alternative low complexity zero-forcing beamformer design is proposed for MU-MIMO systems by applying a dual gradient method. Different from the step size rule in the literature, a backtracking line search is adopted. A numerical example is provided to show the effectiveness of the proposed method. 2016 Journal Article http://hdl.handle.net/20.500.11937/52104 10.3934/naco.2016012 American Institute of Mathematical Sciences unknown |
| spellingShingle | Li, Bin Dam, Hai Huyen Heidi Cantoni, A. A low-complexity zero-forcing beamformer design for multiuser MIMO systems via a dual gradient method |
| title | A low-complexity zero-forcing beamformer design for multiuser MIMO systems via a dual gradient method |
| title_full | A low-complexity zero-forcing beamformer design for multiuser MIMO systems via a dual gradient method |
| title_fullStr | A low-complexity zero-forcing beamformer design for multiuser MIMO systems via a dual gradient method |
| title_full_unstemmed | A low-complexity zero-forcing beamformer design for multiuser MIMO systems via a dual gradient method |
| title_short | A low-complexity zero-forcing beamformer design for multiuser MIMO systems via a dual gradient method |
| title_sort | low-complexity zero-forcing beamformer design for multiuser mimo systems via a dual gradient method |
| url | http://hdl.handle.net/20.500.11937/52104 |