Sidelobe reduction of large-scale antenna array for 5G beamforming via hierarchical cuckoo search

Large-scale antenna array (LSAA) is one of the key factors as well as a fundamental technology in fifth generation wireless communication systems. Beampattern sidelobe (SL) suppressing is a complex nonlinear optimisation problem, especially for LSAAs, because of the high-dimensional solution space....

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Published inElectronics letters Vol. 53; no. 16; pp. 1158 - 1160
Main Authors Sun, Geng, Liu, Yanheng, Li, Jionghui, Zhang, Ying, Wang, Aimin
Format Journal Article
LanguageEnglish
Published The Institution of Engineering and Technology 03.08.2017
Subjects
5G beamforming
5G mobile communication
antenna arrays
array signal processing
beampattern sidelobe
beampattern synthesis
hierarchical cuckoo search
hierarchical cuckoo search algorithm
high‐dimensional solution space
large‐scale antenna array
search problems
SL reduction
Wireless communications
high-dimensional solution space
hierarchical cuckoo search algorithm
5G mobile communication
beampattern sidelobe
antenna arrays
SL reduction
5G beamforming
large-scale antenna array
search problems
hierarchical cuckoo search
array signal processing
beampattern synthesis
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ISSN0013-5194
1350-911X
1350-911X
DOI10.1049/el.2016.4768

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Abstract Large-scale antenna array (LSAA) is one of the key factors as well as a fundamental technology in fifth generation wireless communication systems. Beampattern sidelobe (SL) suppressing is a complex nonlinear optimisation problem, especially for LSAAs, because of the high-dimensional solution space. A SL reduction method for LSAA based on a hierarchical cuckoo search (HCS) algorithm is proposed. HCS divides the candidate solutions into different levels to improve population utilisation, so that it is suitable for dealing with large-scale elements. The effectiveness of the proposed method for synthesis of the beampattern of LSAA is verified by theoretical and EM simulations.
AbstractList Large-scale antenna array (LSAA) is one of the key factors as well as a fundamental technology in fifth generation wireless communication systems. Beampattern sidelobe (SL) suppressing is a complex nonlinear optimisation problem, especially for LSAAs, because of the high-dimensional solution space. A SL reduction method for LSAA based on a hierarchical cuckoo search (HCS) algorithm is proposed. HCS divides the candidate solutions into different levels to improve population utilisation, so that it is suitable for dealing with large-scale elements. The effectiveness of the proposed method for synthesis of the beampattern of LSAA is verified by theoretical and EM simulations.
Author Li, Jionghui
Zhang, Ying
Liu, Yanheng
Wang, Aimin
Sun, Geng
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Issue 16
Keywords high-dimensional solution space
hierarchical cuckoo search algorithm
5G mobile communication
beampattern sidelobe
antenna arrays
SL reduction
5G beamforming
large-scale antenna array
search problems
hierarchical cuckoo search
array signal processing
beampattern synthesis
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Notes Jionghui Li: Also with School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA
Geng Sun: Also with School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA
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Snippet Large-scale antenna array (LSAA) is one of the key factors as well as a fundamental technology in fifth generation wireless communication systems. Beampattern...
Large‐scale antenna array (LSAA) is one of the key factors as well as a fundamental technology in fifth generation wireless communication systems. Beampattern...
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SubjectTerms 5G beamforming
5G mobile communication
antenna arrays
array signal processing
beampattern sidelobe
beampattern synthesis
hierarchical cuckoo search
hierarchical cuckoo search algorithm
high‐dimensional solution space
large‐scale antenna array
search problems
SL reduction
Wireless communications
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Title Sidelobe reduction of large-scale antenna array for 5G beamforming via hierarchical cuckoo search
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