Completion Time Minimization for Content Delivery in Cache-Enabled Multi-UAV Networks

Hong Shen, Yannan Luo, Yu Xu, Tiankui Zhang
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Abstract

This paper studies the completion time minimization of unmanned aerial vehicle (UAV) for content delivery in cache-enabled multi-UAV networks. Due to the limited cache space of UAV, uncached contents need to be fetched from the ground base station (GBS) via wireless backhaul, which causes additional delay to mission completion. To reduce the content delivery time, we formulate a non-convex minimization problem by optimizing cache placement, content scheduling, bandwidth allocation and UAVs' trajectories, which, however, is challenging to tackle. To handle this, the problem is decomposed into four subproblems, and we prove that the subproblem of cache placement is NP-hard for the sake of seeking the appropriate solving methods. Then block coordinate descent (BCD) and convex approximation is used to obtain a suboptimal solution to the primal problem. Numerical results show that our algorithm effectively decreases the completion time of content delivery and outperforms the benchmark schemes.
基于缓存的多无人机网络中内容交付的完成时间最小化
研究了基于缓存的多无人机网络中无人机完成时间最小化的内容交付问题。由于无人机的缓存空间有限,未缓存的内容需要通过无线回程从地面基站(GBS)获取,这给任务完成带来了额外的延迟。为了减少内容交付时间,我们通过优化缓存放置、内容调度、带宽分配和无人机轨迹来制定一个非凸最小化问题,然而,这是一个具有挑战性的问题。为了解决这一问题,我们将该问题分解为四个子问题,并证明了缓存放置子问题是np困难的,以寻求合适的求解方法。然后利用分块坐标下降法(BCD)和凸逼近法得到原问题的次优解。数值结果表明,该算法有效地缩短了内容分发的完成时间,优于基准方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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