期刊
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
卷 91, 期 -, 页码 85-90出版社
ELSEVIER GMBH, URBAN & FISCHER VERLAG
DOI: 10.1016/j.aeue.2018.05.002
关键词
Comprehensive learning particle swarm optimizer (CLPSO); Concentric circular antenna array (CCAA); High altitude platforms (HAPs)
This paper proposes a beamforming technique based on finding the optimum current weights using comprehensive learning particle swarm optimizer (CLPSO) for side-lobe level (SLL) reduction. In a wireless communication network operated by high altitude platforms (HAPs), the key factor for the carrier to interference ratio (CIR) improvement is the antenna SLL reduction. The antenna array configuration is chosen as concentric circular antenna array (CCAA) and the HAPs cellular system is consisting of 169 cells. Compared to other techniques, the proposed method can significantly suppress SLL and this can reduce the co-channel interference for HAPs cellular networks design which leads to a significant improvement in CIR.
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