Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6879137 | AEU - International Journal of Electronics and Communications | 2018 | 20 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Ayman M. Ismaiel, Elsayed Elsaidy, Y. Albagory, Hany A. Atallah, Adel B. Abdel-Rahman, Tarek Sallam,