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Joint Resource Allocation of UAV Aided Communication System Based on Multi-coding Artificial Bee Colony Algorithm

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Abstract

With the advantages of flexible deployment and configuration, fast response, and strong environmental adaptability, UAV-aided communication has significant applications in temporary hotspot areas, edge areas, and emergency communication scenarios. In comparison to traditional wired backhaul links from ground base stations, this paper considers a UAV-aided communication system that utilizes in-band backhaul technology to maximize the minimum reachable rate of ground users by jointly optimizing the hovering position, bandwidth allocation, transmit power, and user association of UAVs. To tackle this problem, a multi-coding artificial bee colony algorithm is proposed in this study to address the joint optimization problem, thereby expanding the dimensionality of the search conducted in the solution space. Simulation results demonstrate that the proposed multivariate coded artificial bee colony algorithm achieves substantial rate gains and improves the minimum reachable rate of ground users in UAV-aided communication systems within a limited number of iterations, as compared to the BCD (BCD) method.

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Funding

This work is supported by Foundation of National Defense Key Laboratory(2021-JCJQ-LB-066-12), National Natural Science Foundation of China (No.52271311), Heilongjiang Touyan Innovation Team Program.

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Authors and Affiliations

  1. Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information, Harbin, China

    Weibo Hao, Fang Ye & Qian Sun

  2. College of Information and Communication Engineering, Harbin Engineering University, Nantong Street, Harbin, 150001, China

    Weibo Hao, Fang Ye & Qian Sun

Authors
  1. Weibo Hao
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  2. Fang Ye
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  3. Qian Sun
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Contributions

All authors contributed to the study conception and design. Data collection and analysis were performed by WH, FY and QS. The first draft of the manuscript was written by WH and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Fang Ye.

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Hao, W., Ye, F. & Sun, Q. Joint Resource Allocation of UAV Aided Communication System Based on Multi-coding Artificial Bee Colony Algorithm. Wireless Pers Commun 134, 1737–1759 (2024). https://doi.org/10.1007/s11277-024-11011-8

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