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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Veröffentlicht in:2011 IEEE International Conference on Communications (ICC) S. 1 - 5
Hauptverfasser: Kyoung-Jae Lee, Hakjea Sung, Inkyu Lee
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.06.2011
Schlagworte:
Downlink
Interference
Matrix decomposition
MIMO
Receiving antennas
Signal to noise ratio
ISBN:9781612842325, 1612842321
ISSN:1550-3607
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Zusammenfassung: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.
ISBN:9781612842325
1612842321
ISSN:1550-3607
DOI:10.1109/icc.2011.5963176