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Energy-Efficient Joint Scheduling and Resource Management for UAV-Enabled Multicell Networks
IEEE Systems Journal ( IF 4.4 ) Pub Date : 2019-05-07 , DOI: 10.1109/jsyst.2019.2911895
Helin Yang , Xianzhong Xie

Unmanned aerial vehicles (UAVs) have attracted much attention recently in wireless communication networks due to their low-cost and flexible deployment. In this paper, we address the energy-efficient joint scheduling and resource management in UAV-enabled multicell networks, where multiple UAVs act as aerial base stations (BSs) to serve ground devices. We devise the scheduling and resource management that jointly solve the problem of optimizing the UAVs' locations and resource management, in order to maximize the network energy efficiency (EE). Accordingly, we propose two approaches: a coordinated approach, where all UAVs coordinate with each other to achieve the overall network EE with sharing their information and decision, and an uncoordinated approach, where each UAV selfishly maximizes its own EE without sharing its information and decision. We transform the coordinated optimization problem into a convex form, and adopt the noncooperative game theory to model the uncoordinated formulation. Moreover, we extend the two approaches to time-varying UAV-enabled systems to handle the dynamic environments. Simulation results evaluate the performance of the proposed coordinated approach and the uncoordinated approach under both dynamic and stationary cases, and reveal the respective advantages of the two approaches.

中文翻译:

支持UAV的多小区网络的节能联合调度和资源管理

由于其低成本和灵活的部署,无人飞行器(UAV)最近在无线通信网络中引起了很多关注。在本文中,我们解决了启用UAV的多小区网络中的节能联合调度和资源管理问题,其中多个UAV充当服务于地面设备的空中基站(BS)。我们设计了调度和资源管理,以共同解决优化无人机的位置和资源管理的问题,从而最大程度地提高网络能效(EE)。因此,我们提出了两种方法:一种协调方法,其中所有无人机相互协调以通过共享信息和决策来实现整个网络EE;以及一种不协调方法,每个UAV都在不共享信息和决策的情况下自私地最大化其EE。我们将协调优化问题转化为凸形式,并采用非合作博弈理论对不协调公式进行建模。此外,我们将这两种方法扩展到了随时间变化的启用了UAV的系统上,以处理动态环境。仿真结果评估了所提出的协调方法和非协调方法在动态和平稳情况下的性能,并揭示了两种方法各自的优点。
更新日期:2020-04-22
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