Low Complexity Tree Searching-Based Iterative Precoding Techniques for Multiuser MIMO Broadcast Channel
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概要
- 論文の詳細を見る
In this letter, we propose two computationally efficient precoding algorithms that achieve near-ML performance for multiuser MIMO downlink. The proposed algorithms perform tree expansion after lattice reduction. The first full expansion is tried by selecting the first level node with a minimum metric, constituting a reference metric. To find an optimal sequence, they iteratively visit each node and terminate the expansion by comparing node metrics with the calculated reference metric. By doing this, they significantly reduce the number of undesirable node visit. Monte-Carlo simulations show that both proposed algorithms yield near-ML performance with considerable reduction in complexity compared with that of the conventional schemes such as sphere encoding.
- （社）電子情報通信学会の論文
- 2008-06-01
著者
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Kang Joonhyuk
School Of Engineering Information And Communications University
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Kang Joonhyuk
School Of Engineering At Information And Communications University
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CHA Jongsub
School of Engineering, Information and Communications University
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PARK Kyungho
School of Engineering, Information and Communications University
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PARK Hyuncheol
School of Engineering, Information and Communications University
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Cha Jongsub
School Of Engineering Information And Communications University
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Park Kyungho
School Of Engineering Information And Communications University
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Park Hyuncheol
School Of Engineering Information And Communication University
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