计算机科学
地铁列车时刻表
计算卸载
基站
移动边缘计算
弹道
凸优化
服务质量
资源配置
最优化问题
无线
继电器
数学优化
发射机功率输出
轨迹优化
计算
无线网络
蜂窝网络
GSM演进的增强数据速率
边缘计算
计算机网络
服务器
功率(物理)
正多边形
最优控制
频道(广播)
电信
算法
物理
操作系统
天文
量子力学
发射机
数学
几何学
作者
Fengxian Guo,Heli Zhang,Hong Ji,Xi Li,Victor C. M. Leung
标识
DOI:10.1109/infocomwkshps47286.2019.9093764
摘要
Unmanned aerial vehicles (UAVs) offer cost-effective services in wireless communication with no or limited infrastructure. In this paper, a UAV-assisted mobile edge computing system is studied, in which UAV serves as a relay between the offloading users and the Base Station (BS). Furthermore, nonorthogonal multiple access (NOMA) is introduced to improve the spectrum efficiency. To enable effective computation offloading, the trajectory of UAV and multi-dimensional resource allocation play an important role in the offloading procedure. However, there still lack studies on this topic in such a network. This paper aims at joint trajectory and computation offloading optimization while considering the energy consumption of UAV and quality of services (QoS) of the users. This problem is formulated to minimize the total delay of all users. To enable tractable analysis, we first divide the original problem into two subproblems: joint optimization of trajectory and power allocation, and user schedule. Then the first problem is addressed by leveraging successive convex approximations. And the difference of convex programming theory is adopted to obtain a sub-optimal solution. With the obtained results, the user schedule indicator is finally optimized. Extensive simulation results are presented to demonstrate the effectiveness of the proposed solution.
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