Performance improvement of high altitude platform using concentric circular antenna array based on particle swarm optimization

被引：25

作者：

Ismaiel, Ayman M. ^{[1
,3
]}

Elsaidy, Elsayed ^{[1
]}

Albagory, Y. ^{[2
]}

Atallah, Hany A. ^{[3
]}

Abdel-Rahman, Adel B. ^{[1
,3
]}

Sallam, Tarek ^{[4
]}

机构：

[1] Egypt Japan Univ Sci & Technol, Alexandria 21934, Egypt

[2] Menoufia Univ, Fac Engn, Menoufia 23952, Egypt

[3] South Valley Univ, Fac Engn, Elect Engn, Qena 83523, Egypt

[4] Benha Univ, Fac Engn Shoubra, Cairo 11241, Egypt

来源：

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS | 2018年 / 91卷

关键词：

Comprehensive learning particle swarm optimizer (CLPSO); Concentric circular antenna array (CCAA); High altitude platforms (HAPs); CELLULAR COVERAGE;

D O I：

10.1016/j.aeue.2018.05.002

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：85 / 90

页数：6

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