Binary quadratic Mu-MIMO joint receive antenna selection and user scheduling
Multiuser Multiple-Input-Multiple-Output (MIMO) is a key physical layer technique in current and future wireless technologies which require high throughput, efficient resource usage, and effective multiple access. In this paper, a joint user scheduler and receive antenna selector based on Branch and...
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| Published in: | 2011 IEEE 7th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) pp. 406 - 410 |
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| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.10.2011
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| Subjects: | |
| ISBN: | 9781457720130, 1457720132 |
| ISSN: | 2160-4886 |
| Online Access: | Get full text |
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| Abstract | Multiuser Multiple-Input-Multiple-Output (MIMO) is a key physical layer technique in current and future wireless technologies which require high throughput, efficient resource usage, and effective multiple access. In this paper, a joint user scheduler and receive antenna selector based on Branch and Bound algorithm is proposed. The problem is formulated as a Mixed Binary Quadratic Programming problem. Branch and Bound method is used to derive a near-optimal, low complexity algorithm. The performance of the scheduler and antenna selector is assessed by simulations. The proposed algorithm is shown to result in sum rate performance near to that achieved by Exhaustive Search, and significantly outperforms Greedy Search with both better sum-rate and lower computational requirements. |
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| AbstractList | Multiuser Multiple-Input-Multiple-Output (MIMO) is a key physical layer technique in current and future wireless technologies which require high throughput, efficient resource usage, and effective multiple access. In this paper, a joint user scheduler and receive antenna selector based on Branch and Bound algorithm is proposed. The problem is formulated as a Mixed Binary Quadratic Programming problem. Branch and Bound method is used to derive a near-optimal, low complexity algorithm. The performance of the scheduler and antenna selector is assessed by simulations. The proposed algorithm is shown to result in sum rate performance near to that achieved by Exhaustive Search, and significantly outperforms Greedy Search with both better sum-rate and lower computational requirements. |
| Author | Khairy, M. M. Elgohari, S. A. |
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| Snippet | Multiuser Multiple-Input-Multiple-Output (MIMO) is a key physical layer technique in current and future wireless technologies which require high throughput,... |
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| SubjectTerms | Antenna selection Array signal processing Complexity theory Cross-Layer Design Joints MAC Scheduling MIMO Multiuser MIMO Receiving antennas Scheduling Signal to noise ratio Signal-to-Leakage Ratio Transmit Beamforming User Selection |
| Title | Binary quadratic Mu-MIMO joint receive antenna selection and user scheduling |
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