摘要
针对多用户-多移动边缘计算服务器系统的动态计算任务卸载问题,基于用户端和服务器端的任务队列模型,以系统的长期平均时延和长期平均功耗为优化目标,求解最优的卸载策略及相应的上行预编码.通过李雅普诺夫优化方法将长期平均问题转化成单阶段目标优化问题,考虑到卸载策略和预编码之间存在范数约束关系,通过连续近似和半正定松弛,可转化成典型的DC规划求预编码解问题.仿真结果表明,所提方案比传统方法具有更低的时延和功耗.
Considering task queue model on both user and mobile edge computing(MEC)server side,a dynamic computing task offloading problem in multi-user-multi-MEC-server system is proposed.To find the optimal offloading and corresponding uplink precoding strategy,a long-term average overhead containing delay and power consumption of the whole system optimization problem is formulated.The original problem is transformed into a single-stage cost target optimization problem based on Lyapunov optimization method and further converted into a typical DC programming problem by utilizing successive approximation and semi-definite relaxation.Simulation shows that the proposed scheme characterized by optimizing precoding design can meet the lower delay and power consumption requirements.
作者
滕颖蕾
刘薇
欧阳卫平
李鹍
宋梅
TENG Ying-lei;LIU Wei;OUYANG Wei-ping;LI Kun;SONG Mei(School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing100876,China;Huawei Technologies Company Limited,Shenzhen518129,China;Institute of Standard Metrology,China Academy of Railway Sciences,Beijing100081,China)
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2019年第3期14-20,共7页
Journal of Beijing University of Posts and Telecommunications
基金
国家重点研发计划项目(2018YFB1201500)
国家自然科学基金项目(61771072)
北京市自然科学基金项目(L171011)
北京市重大专项项目(Z181100003118012)
中国铁路总公司科技研究开发计划项目(J2018G004)
关键词
移动边缘计算
预编码
李雅普诺夫优化
凸优化
mobile edge computing
precoding
Lyapunov optimization
convex optimization
