Title: The automatic positioning method for defect data of 5G mobile communication based on cloud computing
Authors: Chen Fang
Addresses: College of Electronic Information, Hunan Institute of Information Technology, ChangSha, 410151, China
Abstract: To overcome the problems of low positioning accuracy and long running time in the traditional automatic positioning method of communication defect data, this paper proposes a new automatic positioning method of 5G mobile communication defect data based on cloud computing. In this paper, the 5G mobile communication defect data automatic location model is established by using cloud computing method, and the target location mechanism is transformed into solving nonlinear least square optimisation method. The improved hybrid leapfrog algorithm with chaos mapping and Cauchy mutation is introduced to optimise the automatic location model of 5G mobile communication defect data, so as to realise the automatic location of 5G mobile communication defect data based on cloud computing. The experimental results show that the proposed method is not only safe and reliable, but also can effectively improve the positioning accuracy. The maximum positioning error is only 0.1%.
Keywords: cloud computing; 5G mobile communication; defect data; automatic positioning; hybrid leapfrog algorithm; simulation.
International Journal of Autonomous and Adaptive Communications Systems, 2022 Vol.15 No.1, pp.63 - 77
Received: 13 Feb 2020
Accepted: 01 Jun 2020
Published online: 15 May 2022 *