A low-complexity hybrid algorithm based on particle swarm and ant colony optimization for large-MIMO detection
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- 作者：Manish Mandloi ; phd1301202006@iiti.ac.in" class="auth_mail" title="E-mail the corresponding author ; manishmandloi1@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Vimal Bhatia vbhatia@iiti.ac.in" class="auth_mail" title="E-mail the corresponding author
- 关键词：Particle swarm optimization ; Ant colony optimization ; Zero forcing ; Minimum mean squared error ; Multiple-input multiple-output ; Maximum likelihood ; Bit error rate
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：15 May 2016
- 年：2016
- 卷：50
- 期：Complete
- 页码：66-74
- 全文大小：2491 K
文摘
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A low-complexity hybrid algorithm for large-MIMO detection is proposed.
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Hybridization of ant colony and particle swarm optimization algorithms.
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Superior performance over existing ant colony optimization algorithms.
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The hybrid algorithm achieves near optimal bit error rate performance.