Linear Precoder Designs for Cognitive Radio Multiuser MIMO Downlink Systems
In this paper, we develop linear precoding methods for cognitive radio (CR) multi-user multiple-input multiple-output (MU-MIMO) broadcast systems where unlicensed secondary users (SUs) simultaneously use the same spectrum of the licensed primary user (PU). When the zero-forcing block diagonalization...
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| Published in: | 2011 IEEE International Conference on Communications (ICC) pp. 1 - 5 |
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| Main Authors: | , , |
| Format: | Conference Proceeding |
| Language: | English |
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IEEE
01.06.2011
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| Subjects: | |
| ISBN: | 9781612842325, 1612842321 |
| ISSN: | 1550-3607 |
| Online Access: | Get full text |
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| Abstract | In this paper, we develop linear precoding methods for cognitive radio (CR) multi-user multiple-input multiple-output (MU-MIMO) broadcast systems where unlicensed secondary users (SUs) simultaneously use the same spectrum of the licensed primary user (PU). When the zero-forcing block diagonalization (ZF-BD) precoder is extended to the CR network, a noise enhancement problem occurs. Therefore, we propose a regularized BD precoder based on the minimum mean-square error (MMSE) criteria subject to zero interference constraint for the PU. As a result, the proposed MMSE-BD scheme improves the signal-to-interference-plus-noise ratio at each SU's receiver compared to the ZF-BD based method. Simulation results demonstrate that the proposed algorithm outperforms the ZF based technique by more than 5 dB at the sum-rate 10 bps/Hz for CR MU-MIMO downlink systems. |
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| AbstractList | In this paper, we develop linear precoding methods for cognitive radio (CR) multi-user multiple-input multiple-output (MU-MIMO) broadcast systems where unlicensed secondary users (SUs) simultaneously use the same spectrum of the licensed primary user (PU). When the zero-forcing block diagonalization (ZF-BD) precoder is extended to the CR network, a noise enhancement problem occurs. Therefore, we propose a regularized BD precoder based on the minimum mean-square error (MMSE) criteria subject to zero interference constraint for the PU. As a result, the proposed MMSE-BD scheme improves the signal-to-interference-plus-noise ratio at each SU's receiver compared to the ZF-BD based method. Simulation results demonstrate that the proposed algorithm outperforms the ZF based technique by more than 5 dB at the sum-rate 10 bps/Hz for CR MU-MIMO downlink systems. |
| Author | Hakjea Sung Inkyu Lee Kyoung-Jae Lee |
| Author_xml | – sequence: 1 surname: Kyoung-Jae Lee fullname: Kyoung-Jae Lee email: kyoungjae@korea.ac.kr organization: Sch. of Electr. Eng., Korea Univ., Seoul, South Korea – sequence: 2 surname: Hakjea Sung fullname: Hakjea Sung email: jay.sung@samsung.com organization: Samsung Electron., Suwon, South Korea – sequence: 3 surname: Inkyu Lee fullname: Inkyu Lee email: inkyu@korea.ac.kr organization: Sch. of Electr. Eng., Korea Univ., Seoul, South Korea |
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| Snippet | In this paper, we develop linear precoding methods for cognitive radio (CR) multi-user multiple-input multiple-output (MU-MIMO) broadcast systems where... |
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| SubjectTerms | Downlink Interference Matrix decomposition MIMO Receiving antennas Signal to noise ratio |
| Title | Linear Precoder Designs for Cognitive Radio Multiuser MIMO Downlink Systems |
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