A low complexity user scheduling algorithm for uplink multiuser MIMO systems
A low complexity user scheduling algorithm based on a novel adaptive Markov chain Monte Carlo (AMCMC) method is proposed to achieve the maximal sum capacity in an uplink multiple-input multiple-output (MIMO) multiuser system. Compared with the existing scheduling algorithms, our algorithm is not onl...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2008
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| _version_ | 1826275016061222912 |
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| author | Zhang, Y Ji, C Liu, Y Malik, W O'Brien, D Edwards, D |
| author_facet | Zhang, Y Ji, C Liu, Y Malik, W O'Brien, D Edwards, D |
| author_sort | Zhang, Y |
| collection | OXFORD |
| description | A low complexity user scheduling algorithm based on a novel adaptive Markov chain Monte Carlo (AMCMC) method is proposed to achieve the maximal sum capacity in an uplink multiple-input multiple-output (MIMO) multiuser system. Compared with the existing scheduling algorithms, our algorithm is not only more efficient but also converges to within 99% of the optimal capacity obtained by exhaustive search. We demonstrate the convergence of the proposed scheduling algorithm and study the tradeoff between its complexity and performance. © 2008 IEEE. |
| first_indexed | 2024-03-06T22:52:16Z |
| format | Journal article |
| id | oxford-uuid:5f325e90-6da5-454c-8c59-fdd04632276f |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T22:52:16Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | oxford-uuid:5f325e90-6da5-454c-8c59-fdd04632276f2022-03-26T17:45:22ZA low complexity user scheduling algorithm for uplink multiuser MIMO systemsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:5f325e90-6da5-454c-8c59-fdd04632276fEnglishSymplectic Elements at Oxford2008Zhang, YJi, CLiu, YMalik, WO'Brien, DEdwards, DA low complexity user scheduling algorithm based on a novel adaptive Markov chain Monte Carlo (AMCMC) method is proposed to achieve the maximal sum capacity in an uplink multiple-input multiple-output (MIMO) multiuser system. Compared with the existing scheduling algorithms, our algorithm is not only more efficient but also converges to within 99% of the optimal capacity obtained by exhaustive search. We demonstrate the convergence of the proposed scheduling algorithm and study the tradeoff between its complexity and performance. © 2008 IEEE. |
| spellingShingle | Zhang, Y Ji, C Liu, Y Malik, W O'Brien, D Edwards, D A low complexity user scheduling algorithm for uplink multiuser MIMO systems |
| title | A low complexity user scheduling algorithm for uplink multiuser MIMO systems |
| title_full | A low complexity user scheduling algorithm for uplink multiuser MIMO systems |
| title_fullStr | A low complexity user scheduling algorithm for uplink multiuser MIMO systems |
| title_full_unstemmed | A low complexity user scheduling algorithm for uplink multiuser MIMO systems |
| title_short | A low complexity user scheduling algorithm for uplink multiuser MIMO systems |
| title_sort | low complexity user scheduling algorithm for uplink multiuser mimo systems |
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