UAV-Direct: Facilitating D2D Communications for Dynamic and Infrastructure-less Networking

Ahmad Alsharoa, M. Yuksel
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引用次数: 8

Abstract

In this paper, a new and novel approach called (Unmanned Areal Vehicle) UAV-Direct is proposed, where the UAV helps in optimizing the bandwidth and power allocations of Device-to-Device (D2D) communication. In addition to that, the UAV can play the role of a relay if needed to maintain the communication links between the devices that are out of communication ranges of each other. We design a UAV-Direct protocol to manage the resource allocations to improve the system throughput. We formulate an optimization problem that maximizes the minimum device throughput while satisfying resource allocation constraints. Since the formulated optimization problem is non-convex, we propose to solve this problem in two steps. In the first step, a Taylor series successive convex approximation solution is proposed to optimize the resource allocations. Then, we propose an efficient algorithm based on a recursive shrink-and-realign process to optimize the UAV trajectory.
UAV-Direct:促进动态和无基础设施网络的D2D通信
在本文中,提出了一种新的和新颖的方法(无人机区域车辆)UAV- direct,其中UAV有助于优化设备到设备(D2D)通信的带宽和功率分配。除此之外,如果需要,UAV可以扮演中继的角色,维持彼此不在通信范围内的设备之间的通信链路。我们设计了一个UAV-Direct协议来管理资源分配,以提高系统吞吐量。我们提出了一个优化问题,在满足资源分配约束的情况下,使最小设备吞吐量最大化。由于公式优化问题是非凸的,我们建议分两步解决这个问题。第一步,提出了一个泰勒级数连续凸逼近解来优化资源分配。在此基础上,提出了一种基于递归收缩-调整过程的高效无人机轨迹优化算法。
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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