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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Bibliographic Details
Published in:IEEE transactions on wireless communications Vol. 10; no. 10; pp. 3139 - 3144
Main Authors: Lee, Kyoung-Jae, Lee, Inkyu
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.10.2011
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
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
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
ISSN:1536-1276, 1558-2248
Online Access:Get full text
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Description
Summary: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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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2011.081611.101853