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Cellular UAV-to-X Communications: Design and Optimization for Multi-UAV Networks

机译:Cellular UAV-to-X通信:用于多UAV网络的设计和优化

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摘要

In this paper, we consider a single-cell cellular network with a number ofcellular users~(CUs) and unmanned aerial vehicles~(UAVs), in which multipleUAVs upload their collected data to the base station (BS). Two transmissionmodes are considered to support the multi-UAV communications, i.e.,UAV-to-infrastructure (U2I) and UAV-to-UAV~(U2U) transmissions. Specifically, aUAV either uploads its collected data to the BS through U2I overlaytransmission or offloads the data to a neighboring UAV through U2U underlaytransmission when facing on-board battery outage. We formulate the subcarrierallocation and trajectory control problem to maximize the uplink sum-ratetaking the delay of sensing tasks into consideration. To solve this NP-hardproblem efficiently, we decouple it into three sub-problems: U2I and cellularuser (CU) subcarrier allocation, U2U subcarrier allocation, and UAV trajectorycontrol. An iterative subcarrier allocation and trajectory control algorithm(ISATCA) is proposed to solve these sub-problems jointly. Simulation resultsshow that the proposed ISATCA can upload 20% more data than the one withoutU2U offloading, and 10% more than that obtained by the random algorithm.
机译:在本文中,我们考虑一个具有多个细胞用户〜(CU)和无人机的单细胞蜂窝网络〜(无人机),其中多个超级瓦斯将收集的数据上传到基站(BS)。考虑两个传输示例以支持多UAV通信,即UV-to-Infrastructure(U2I)和UV-to-UAV〜(U2U)传输。具体而言,AUAV通过U2i overlayTransmission将其收集的数据上传到BS,或者在面向板上的电池中断时将数据卸载到邻近的UV。我们制定了子载波扩展和轨迹控制问题,以最大化上行链路和定量检测任务的延迟考虑。为了有效地解决这个问题,我们将其解耦为三个子问题:U2I和CellularUser(CU)子载波分配,U2U子载波分配和UAV TraometOryControl。提出了一种迭代子载波分配和轨迹控制算法(ISATCA)以共同解决这些子问题。仿真结果表明,所提出的ISATCA可以上传20 %的数据而不是一个UTU2u卸载,而不是随机算法获得的10 %。

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