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

• Published in: Electronics letters Vol. 53; no. 16; pp. 1158 - 1160
• Main Authors: Sun, Geng, Liu, Yanheng, Li, Jionghui, Zhang, Ying, Wang, Aimin
• Format: Journal Article
• Language: English
• 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
• ISSN: 0013-5194; 1350-911X; 1350-911X
• DOI: 10.1049/el.2016.4768

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.