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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Vydáno v:2011 IEEE International Conference on Communications (ICC) s. 1 - 5
Hlavní autoři: Kyoung-Jae Lee, Hakjea Sung, Inkyu Lee
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.06.2011
Témata:
Downlink
Interference
Matrix decomposition
MIMO
Receiving antennas
Signal to noise ratio
ISBN:9781612842325, 1612842321
ISSN:1550-3607
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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.
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
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  surname: Hakjea Sung
  fullname: Hakjea Sung
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  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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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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