A hybrid iterative MIMO detection algorithm: Partial Gaussian approach with integer programming
In this paper, after showing MMSE-SIC suffers from performance loss when the channel is spatially correlated for Massive MIMO, we propose an effective hybrid iterative detection algorithm named partial Gaussian approach with integer programming (PGA-IP) to handle correlated channels. In PGA-IP, a pa...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/26434 |
| _version_ | 1848751985372692480 |
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| author | Fang, L. Xu, L. Guo, Q. Huang, D. Nordholm, Sven |
| author_facet | Fang, L. Xu, L. Guo, Q. Huang, D. Nordholm, Sven |
| author_sort | Fang, L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, after showing MMSE-SIC suffers from performance loss when the channel is spatially correlated for Massive MIMO, we propose an effective hybrid iterative detection algorithm named partial Gaussian approach with integer programming (PGA-IP) to handle correlated channels. In PGA-IP, a partial gaussian approach is first employed to reduce the massive MIMO detection (with large dimension Nt ×Nr MIMO channel) to a problem of marginalizing M (M is a parameter and M? Nt, Nr) discrete valued symbols over an M-degree quadratic function. Then we employ integer programming which is a tree based branch-and-bound search algorithm to further reduce the complexity of the M-dimensional marginalization. Simulation results show that the proposed PGA-IP outperforms MMSE-SIC by about 5dB under heavily correlated channel with only several times of increased computational complexity. At the same time, with about 5% of the complexity of the exact PGA algorithm, the proposed PGA-IP only suffers marginal performance penalty. |
| first_indexed | 2025-11-14T08:01:25Z |
| format | Conference Paper |
| id | curtin-20.500.11937-26434 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:01:25Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-264342017-09-13T15:26:01Z A hybrid iterative MIMO detection algorithm: Partial Gaussian approach with integer programming Fang, L. Xu, L. Guo, Q. Huang, D. Nordholm, Sven In this paper, after showing MMSE-SIC suffers from performance loss when the channel is spatially correlated for Massive MIMO, we propose an effective hybrid iterative detection algorithm named partial Gaussian approach with integer programming (PGA-IP) to handle correlated channels. In PGA-IP, a partial gaussian approach is first employed to reduce the massive MIMO detection (with large dimension Nt ×Nr MIMO channel) to a problem of marginalizing M (M is a parameter and M? Nt, Nr) discrete valued symbols over an M-degree quadratic function. Then we employ integer programming which is a tree based branch-and-bound search algorithm to further reduce the complexity of the M-dimensional marginalization. Simulation results show that the proposed PGA-IP outperforms MMSE-SIC by about 5dB under heavily correlated channel with only several times of increased computational complexity. At the same time, with about 5% of the complexity of the exact PGA algorithm, the proposed PGA-IP only suffers marginal performance penalty. 2015 Conference Paper http://hdl.handle.net/20.500.11937/26434 10.1109/ICCChina.2014.7008322 restricted |
| spellingShingle | Fang, L. Xu, L. Guo, Q. Huang, D. Nordholm, Sven A hybrid iterative MIMO detection algorithm: Partial Gaussian approach with integer programming |
| title | A hybrid iterative MIMO detection algorithm: Partial Gaussian approach with integer programming |
| title_full | A hybrid iterative MIMO detection algorithm: Partial Gaussian approach with integer programming |
| title_fullStr | A hybrid iterative MIMO detection algorithm: Partial Gaussian approach with integer programming |
| title_full_unstemmed | A hybrid iterative MIMO detection algorithm: Partial Gaussian approach with integer programming |
| title_short | A hybrid iterative MIMO detection algorithm: Partial Gaussian approach with integer programming |
| title_sort | hybrid iterative mimo detection algorithm: partial gaussian approach with integer programming |
| url | http://hdl.handle.net/20.500.11937/26434 |