MMSE Based Block Diagonalization for Cognitive Radio MIMO Broadcast Channels
In this paper, we present a linear precoder design for cognitive radio (CR) multi-user multiple-input multiple-output (MU-MIMO) downlink systems where unlicensed secondary users (SUs) can simultaneously utilize the same spectrum used by a licensed primary user (PU). Although a zero-forcing block dia...
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| Vydáno v: | IEEE transactions on wireless communications Ročník 10; číslo 10; s. 3139 - 3144 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York, NY
IEEE
01.10.2011
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1536-1276, 1558-2248 |
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| Abstract | In this paper, we present a linear precoder design for cognitive radio (CR) multi-user multiple-input multiple-output (MU-MIMO) downlink systems where unlicensed secondary users (SUs) can simultaneously utilize the same spectrum used by a licensed primary user (PU). Although a zero-forcing block diagonalization (ZF-BD) precoder is extended to the CR network with the PU, a transmit power boost problem occurs. Therefore, we propose a regularized BD precoder method based on the minimum mean-squared error (MMSE) criteria subject to the interference power constraint under a predetermined threshold for the PU. As a result, the proposed CR-MMSE-BD scheme improves the signal-to-interference-plus-noise ratio at each SU's receiver, compared to the ZF-BD based method. The simulation results demonstrate that the proposed algorithm outperforms the ZF based technique for CR MU-MIMO downlink systems. |
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| AbstractList | In this paper, we present a linear precoder design for cognitive radio (CR) multi-user multiple-input multiple-output (MU-MIMO) downlink systems where unlicensed secondary users (SUs) can simultaneously utilize the same spectrum used by a licensed primary user (PU). Although a zero-forcing block diagonalization (ZF-BD) precoder is extended to the CR network with the PU, a transmit power boost problem occurs. Therefore, we propose a regularized BD precoder method based on the minimum mean-squared error (MMSE) criteria subject to the interference power constraint under a predetermined threshold for the PU. As a result, the proposed CR-MMSE-BD scheme improves the signal-to-interference-plus-noise ratio at each SU's receiver, compared to the ZF-BD based method. The simulation results demonstrate that the proposed algorithm outperforms the ZF based technique for CR MU-MIMO downlink systems. |
| Author | Inkyu Lee Kyoung-Jae Lee |
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| Keywords | Performance evaluation MIMO system Multiple access Diagonalization multi-user MIMO Transmission channel block diagonalization (BD) Downlink Cognitive radio Algorithm Mean square error minimum mean-squared error (MMSE) Simulation Broadcast channels Signal to interference plus noise ratio Radio communication Software radio |
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| SubjectTerms | Algorithms Applied sciences block diagonalization (BD) Blocking Channels Cognitive radio Design engineering Downlink Exact sciences and technology Interference Matrix decomposition MIMO minimum mean-squared error (MMSE) multi-user MIMO Plutonium Radio Radiocommunication specific techniques Radiocommunications Receivers Receiving antennas Signal to noise ratio Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Wireless communication |
| Title | MMSE Based Block Diagonalization for Cognitive Radio MIMO Broadcast Channels |
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