Optimization of Wireless Communication Coverage in Underground Tunnels Based on Zone Division

Author:

Huo Yu1ORCID,Hu Qingsong1ORCID,Sun Yanjing12ORCID,Guo Xiwang3ORCID,Qi Liang4ORCID,Zhao Xiaohu1ORCID,Ding Enjie1ORCID

Affiliation:

1. National and Local Joint Engineering Laboratory of Internet Applied Technology on Mine, School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China

2. Xuzhou Engineering Research Center of Intelligent Industry Safety and Emergency Collaboration, Xuzhou 221116, China

3. Computer and Communication Engineering College, Liaoning Shihua University, Fushun 113001, China

4. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China

Abstract

In order to reduce the path loss of the wireless communication signal in the underground tunnel, a scheme for configuring the antenna polarization of wireless systems based on a zone-division method is proposed. A multimodal method is used to estimate the effect of antenna polarization on the wireless propagation. When the optimal polarization of the antenna leading to low path loss is different in the zones near and far from the transmitting antenna, a dividing point is used to separate the zones. Experiments are conducted in an underground mine. It shows that the results by the multimodal method are consistent with the real data. Compared with the existing coverage schemes, the proposed scheme can obtain better coverage. Meanwhile, zone division has an important influence on the optimized performance of the wireless coverage. The zones divided based on Fresnel zone clearance and system identification are too small or too large, which result in incorrect polarization switching and high path loss.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal Simulation Design of Mobile Communication Attenuation Model Based on Ant Colony Algorithm;2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC);2023-09-25

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