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A Novel Algorithm of UAV-Mounted Base Station Placement and Frequency Allocation

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5G for Future Wireless Networks (5GWN 2017)

Abstract

UAV equipped with base stations have recently gained significant development in cases of the terrestrial base station may not satisfy the communication command. Due to the agility and flexibility of UAV, it is used widely in disaster resilience, scenarios of unexpected and temporary events. Although UAV-mounted base station provides a fast coverage for the terrestrial users, the placement of UAVs is a problem to solve, especially the area to be covered is large which need multi-UAVs to cooperate to provide coverage. The difference of terrestrial and air-to-ground channel makes it a new coverage problem. Besides, the interference from UAVs requires a technique to manage the spectrum. In this paper, we formulate the placement of UAV as a 3-D problem, and then proposed a soft frequency reuse scheme to dynamically manage frequency resource. Simulations results show the algorithm is feasible to operate on resource-limited UAV platforms.

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Acknowledgment

This work was supported by the National Natural Science Foundation of China (No. 61601055, No. 61631003), and the National Science Fund for Distinguished Young Scholars (No. 61525101).

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Correspondence to Xu Shen .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Shen, X., Wei, Z., Feng, Z. (2018). A Novel Algorithm of UAV-Mounted Base Station Placement and Frequency Allocation. In: Long, K., Leung, V., Zhang, H., Feng, Z., Li, Y., Zhang, Z. (eds) 5G for Future Wireless Networks. 5GWN 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-72823-0_18

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  • DOI: https://doi.org/10.1007/978-3-319-72823-0_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72822-3

  • Online ISBN: 978-3-319-72823-0

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