CORC  > 兰州理工大学  > 兰州理工大学  > 研究生院
Resource allocation for system throughput maximization based on mobile edge computing
Xue, Jianbin; Shao, Hua; Ma, Qing
2018-09-19
会议日期September 19, 2018 - September 21, 2018
会议地点Tianjin, China
关键词Convex optimization Edge computing Heterogeneous networks Iterative methods Power control Resource allocation Communication quality Convex optimization problems Iterative operation Multi-channel environment Offloading Optimization problems Spectrum utilization System throughput maximization
DOI10.1145/3277453.3277491
页码177-181
英文摘要Mobile edge computing (MEC) provides cloud computing capabilities at the edge of the mobile network, emphasizing proximity to mobile users to reduce network operation and service delays, improving user experience. In this paper, we study the problem of low utilization spectrum resources for MEC in 5G heterogeneous networks. We first explore the problem of computing offloading in multi-channel environment. Then an optimization problem is proposed to maximum the overall throughput of the offloading system, where the power control and interference are taken into consideration. We transform the original optimization problem into a convex optimization problem, and use the Lagrangian dual algorithm to establish the KKT condition. By continuous iterative operation, the user's transmit power is optimally achieved. Simulation results show that our proposed scheme not only guarantees the communication quality, but also improves the system throughput and spectrum utilization. © 2018 Association for Computing Machinery.
会议录ACM International Conference Proceeding Series
会议录出版者Association for Computing Machinery
语种英语
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/118013]  
专题研究生院
作者单位Lanzhou University of Technology, 287 Langongping Rd, Qilihe Qu, Lanzhou Shi, China
推荐引用方式
GB/T 7714
Xue, Jianbin,Shao, Hua,Ma, Qing. Resource allocation for system throughput maximization based on mobile edge computing[C]. 见:. Tianjin, China. September 19, 2018 - September 21, 2018.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace