题名 | Scheduling for Mobile Edge Computing With Random User Arrivals—An Approximate MDP and Reinforcement Learning Approach |
作者 | |
通讯作者 | Wang, Rui |
发表日期 | 2020-07
|
DOI | |
发表期刊 | |
ISSN | 1939-9359
|
卷号 | 69期号:7页码:7735-7750 |
关键词 | |
相关链接 | [IEEE记录] |
收录类别 | |
学校署名 | 第一
; 通讯
|
EI入藏号 | 20203108984022
|
EI主题词 | Optimization
; Markov processes
; Gradient methods
; computation offloading
; Mobile edge computing
; Scheduling
; Stochastic systems
|
EI分类号 | Digital Computers and Systems:722.4
; Computer Software, Data Handling and Applications:723
; Artificial Intelligence:723.4
; Control Systems:731.1
; Management:912.2
; Optimization Techniques:921.5
; Numerical Methods:921.6
; Probability Theory:922.1
; Systems Science:961
|
ESI学科分类 | ENGINEERING
|
来源库 | IEEE
|
全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9078843 |
引用统计 |
被引频次[WOS]:18
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/141377 |
专题 | 工学院_电子与电气工程系 |
作者单位 | 1.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Univ Key Lab Adv Wireless Commun Guangdong Prov, Shenzhen 518000, Peoples R China 2.Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China 3.Peng Cheng Lab, Res Ctr Networks & Commun, Shenzhen 518000, Peoples R China |
第一作者单位 | 电子与电气工程系 |
通讯作者单位 | 电子与电气工程系 |
第一作者的第一单位 | 电子与电气工程系 |
推荐引用方式 GB/T 7714 |
Huang, Shanfeng,Lv, Bojie,Wang, Rui,等. Scheduling for Mobile Edge Computing With Random User Arrivals—An Approximate MDP and Reinforcement Learning Approach[J]. IEEE Transactions on Vehicular Technology,2020,69(7):7735-7750.
|
APA |
Huang, Shanfeng,Lv, Bojie,Wang, Rui,&Huang, Kaibin.(2020).Scheduling for Mobile Edge Computing With Random User Arrivals—An Approximate MDP and Reinforcement Learning Approach.IEEE Transactions on Vehicular Technology,69(7),7735-7750.
|
MLA |
Huang, Shanfeng,et al."Scheduling for Mobile Edge Computing With Random User Arrivals—An Approximate MDP and Reinforcement Learning Approach".IEEE Transactions on Vehicular Technology 69.7(2020):7735-7750.
|
条目包含的文件 | 条目无相关文件。 |
|
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。
修改评论