Abstract
In post-disaster relief, how to design an efficient emergency communication system (ECS) to provide emergency communication service and improve channel access probability still remains a challenge. In this paper, we use Thomas cluster process (TCP) to model the locations of ground terminals (GT) and propose a new scheme to maximize channel access probability. The proposed emergency communication infrastructure includes a hovering helicopter and a Unmanned Aerial Vehicle (UAV) to provide communication service for GTs. Different from the existed work, an adaptive speed cruise model is proposed for the UAV depending on distribution density of GTs. Then, an efficient dynamic channel resource schedule method is proposed for system with limited channel resource. The channel access probability is formed as non convex optimization problem. The original non-convex optimization problem is transferred into a convex problem by analyzing objective function. An interior-point method is adopted to solve this problem. Extensive simulations are performed to evaluate the model by optimizing the UAV speed in different regions. The results show that the proposed new scheme outperforms the one with constant cruise speed for UAV and static scheduling for channel resource allocation.
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Acknowledgement
This work was supported in part by the NSF of China under Grants 71171045 and 61772130, in part by the Fundamental Research Funds for the Central Universities NO.2232020A-12, in part by the Innovation Program of Shanghai Municipal Education Commission under Grant No. 14YZ130, in part by the International S&T Cooperation Program of Shanghai Science and Technology Commission under Grant No. 15220710600, in part by the Fundamental Research Funds for the Central Universities NO.17D310404, and in part by the Special Project Funding for the Shanghai Municipal Commission of Economy and Information Civil-Military Inosculation Project “Big Data Management System of UAVs” under the Grant NO.JMRH-2018-1042.
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Hu, X., Li, D., Guo, C., Hu, W., Zhang, L., Zhai, M. (2020). Maximum Channel Access Probability Based on Post-Disaster Ground Terminal Distribution Density. In: Chellappan, S., Choo, KK.R., Phan, N. (eds) Computational Data and Social Networks. CSoNet 2020. Lecture Notes in Computer Science(), vol 12575. Springer, Cham. https://doi.org/10.1007/978-3-030-66046-8_14
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