摘要
在移动边缘计算(MEC)与非正交多址接入(NOMA)技术相结合的应急通信场景中,针对用户自身电池电量受限所导致的无法满足用户业务需求的问题,提出了一个以最小化用户总能耗为目标的无人机辅助NOMA-MEC应急通信系统,设计了一种低复杂度的联合任务卸载比例和传输功率分配迭代算法(JTORATPAIA)。仿真结果表明,与其他基准方案相比,该方案更有效地降低了所有用户的能耗。特别是当输入数据大小为7.5Mbits时,本文所提方案下的能耗与文献[30]相比降低了约40%左右。可见,该方案对于改善应急通信场景下的用户能耗是非常适用的。
In the emergency communication scenario combining mobile edge computing(MEC)and non-orthogonal multiple access(NOMA)technology,aiming at the problem that the user’s own battery power is limited and cannot meet the user’s business needs,an UAV assisted NOMA-MEC emergency communication system with the goal of minimizing the user’s total energy consumption is proposed.A low complexity iterative algorithm for joint task offloading proportion and transmission power allocation(JTORATPAIA)is designed.Simulation results show that compared with other benchmark schemes,this scheme can reduce the energy consumption of all users more effectively.Especially when the input data size is 7.5 Mbits,the energy consumption the proposed scheme is reduced by about 40%compared with literature[30].It can be seen that the scheme is very suitable for improving the energy consumption of users in the emergency communication scenario.
作者
薛建彬
安娜
王琪
张寒
XUE Jianbin;AN Na;WANG Qi;ZHANG Han(School of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,China)
出处
《计算机科学》
CSCD
北大核心
2023年第S02期770-777,共8页
Computer Science
基金
甘肃省自然科学基金(20JR10RA182)。
关键词
应急通信
移动边缘计算
绿色通信
非正交多址技术
能量收集
Emergency communication
Mobile edge computing
Green communication
Non-orthogonal multiple access(NOMA)
Energy harvesting
