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A Time-Driven UAV Deployment and Content Caching Approach for Multi-UAV-Enabled Consumer Electronics Network

文献类型: 外文期刊

作者: Zhang, Jianshan 1 ; Yang, Xu 1 ; Ming, Rui 1 ; Luo, Haibo 1 ; Wang, Xiaoding 2 ; Piran, Md. Jalil 4 ;

作者机构: 1.Minjiang Univ, Sch Comp & Big Data, Fuzhou 350108, Peoples R China

2.Fujian Normal Univ, Coll Comp & Cyber Secur, Fujian Prov Key Lab Network Secur & Cryptol, Fuzhou 350117, Fujian, Peoples R China

3.Chinese Acad Trop Agr Sci, Inst Trop Biosci & Biotechnol, Sanya Res Inst, Natl Key Lab Trop Crop Breeding, Sanya 572024, Hainan, Peoples R China

4.Sejong Univ, Dept Comp Sci & Engn, Seoul 05006, South Korea

关键词: Consumer electronics network; UAV deploy-ment; user access; content caching; content caching; content caching

期刊名称:IEEE TRANSACTIONS ON CONSUMER ELECTRONICS ( 影响因子:10.9; 五年影响因子:8.6 )

ISSN: 0098-3063

年卷期: 2025 年 71 卷 2 期

页码:

收录情况: SCI

摘要: To address the problem of high delay due to the explosive growth of mobile data traffic in consumer electronics network (CEN), in this paper, we investigate the multiple-unmanned aerial vehicle (UAV)-enabled CEN content caching problem, focusing on minimizing content access delay by jointly optimizing UAV deployment, ground user (GU) access, and content caching while satisfying other resource constraints. We propose an algorithm based on alternating optimization for the scenario where multiple UAVs and base station (BS) collaborate to provide caching services. The algorithm attains a sub-optimal solution with a convergence guarantee by iteratively solving the three sub-problems derived from the decomposition of the target problem. First, a convex difference-based algorithm solves the UAV deployment sub-problem. Second, a greedy-based algorithm is used to solve the content caching sub-problem. Then, a continuous convex approximation algorithm based on the penalty function is used to solve the user access sub-problem. Finally, the above procedure is repeated to obtain a sub-optimal solution to the target problem. The proposed joint optimization algorithm is shown to outperform the benchmark algorithms in terms of average content access delay and cache hit ratio, as evidenced by numerical results.

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