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首页> 外文期刊>IEEE Transactions on Communications >Joint Location and Beamforming Design for Cooperative UAVs With Limited Storage Capacity
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Joint Location and Beamforming Design for Cooperative UAVs With Limited Storage Capacity

机译：有限存储容量的协作无人机的联合定位和波束成形设计

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In this paper, we investigate downlink transmissions in a wireless communication system enabled by a swarm of unmanned aerial vehicles (UAVs) which are spatially dispatched to cooperatively deliver requested contents to ground users. First, we propose a communication scheme that exploits the flexible deployment of UAVs as well as their cooperative transmissions to improve in-network user admission. Unlike previous literature, a practical operational constraint of limited storage capacity for UAVs is considered. Then, from the knowledge that cooperation among UAVs depends on the availability of the contents in their limited storage space, we propose a novel joint optimization problem to determine the content placement, location planning, user admission decision and transmit beamforming to maximize the number of users experiencing a minimum required rate, so-called admitted users. Since the formulated problem is a mixed-integer non-linear program which is generally nondeterministic polynomial-time hard, we proposed a framework that is developed on the basis of difference-of-convex (DC) programming to transform the original problem into a series of approximate convex problems which can be iteratively solved until convergence. Our extensive simulation results reveal that the proposed scheme outperforms other schemes that have been introduced in previous work and reflect a notable trend that deploying more cooperative UAVs with fewer resources (power and storage capacity) is more efficient than deploying fewer UAVs with more resources. In particular, in one of our collected results, the total communication power can be reduced by roughly 40 dB when doubling the number of cooperative UAVs.
机译：在本文中，我们研究了无线通信系统中的下行链路传输，该无线通信系统由无人驾驶飞机（UAV）组成，这些无人机在空间上被调度为以协作方式将请求的内容交付给地面用户。首先，我们提出一种通信方案，该方案利用UAV的灵活部署及其协作传输来改善网络内用户的接纳。与以前的文献不同，UAV的有限存储容量的实际操作约束被考虑。然后，基于无人机之间的合作取决于其有限存储空间中内容的可用性的知识，我们提出了一个新颖的联合优化问题，以确定内容放置，位置规划，用户准入决策并传输波束成形以最大化用户数量经历了最低要求的费率，即所谓的允许用户。由于公式化的问题是一个混合整数非线性程序，通常很难确定多项式时间，因此，我们提出了一个基于凸差（DC）编程开发的框架，用于将原始问题转换为一系列问题可以迭代解决直到收敛的近似凸问题。我们广泛的仿真结果表明，所提出的方案优于先前工作中介绍的其他方案，并反映出一个显着的趋势，即部署更多协作式无人机且资源（功率和存储容量）较少的效率要高于部署更少的具有更多资源的无人机的效率。特别是，在我们收集的结果之一中，当将协作型无人机的数量加倍时，总通信功率可以降低约40 dB。

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