Abstract
In this paper, the resource allocation problem for collaborative communication of unmanned aerial vehicle network is formulated and analyzed. In our scenario, the unmanned aerial vehicles (UAVs) are uniformly distributed in the network. We consider that multiple UAVs can share one channel resource. First, a system model is established and the resource allocation problem is formulated. Then a resource allocation scheme based on the improved beetle antennae search algorithm is proposed, which finds the optimum solution efficiently. Finally, the simulation results show that the performance of the proposed the improved beetle antennae search algorithm is better than that of random algorithm. This scheme provides an efficient optimization for resource allocation of collaborative communication of UAVs.
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Acknowledgements
This work was supported in part by the Fundamental Research Funds for the Central Universities (No. 2017B14214, 2018B53114), Six Talent Peaks project in Jiangsu (No. DZXX-008), National Natural Science Foundation of China (No. 61301110) and Research & Development Plan of Suqian City (No. H201719).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, X., Zhou, L., Sun, Y., Zhou, S., Lu, M. (2019). Resource Allocation Schemes Based on Improved Beetle Antennae Search Algorithm for Collaborative Communication of the Unmanned Aerial Vehicle Network. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-030-19156-6_26
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DOI: https://doi.org/10.1007/978-3-030-19156-6_26
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