Delay Efficient D2D Communications over 5G Edge-Computing Mobile Networks

被引:2
作者
Xu, Xiaohua [1 ]
Chen, Yuanfang [2 ]
Zhao, Yanxiao [3 ]
He, Shuibing [4 ]
Song, Houbing [5 ]
机构
[1] Kennesaw State Univ, Dept Comp Sci, Marietta, GA 30060 USA
[2] Hangzhou Dianzi Univ, Sch Cyberspace, Hangzhou, Peoples R China
[3] Virginia Commonwealth Univ, Elect & Comp Engn, Richmond, VA USA
[4] Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou, Peoples R China
[5] Embry Riddle Aeronaut Univ, Dept Elect Comp Software & Syst Engn, Daytona Beach, FL USA
来源
PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC2019) | 2020年 / 582卷
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
D2D communication; Delay; Interference; Duty cycle; Combinatorial algorithm; WIRELESS; LATENCY;
D O I
10.1007/978-981-15-0474-7_117
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Device to Device (D2D) communication scheduling is fundamental for data offloading in fifth-generation (5G) edge-computing mobile networks. Suppose there are multiple users which aim to fetch cached popular contents locally via data offloading, and assume each device user has a demand, the objective is to seek an interference-aware schedule of transmission activities with minimum delay to satisfy all demands. We consider the problem with the duty-cycled constraint. We propose a combinatorial algorithm under the duty-cycled model. The approximation factor is independent of the cycling period length, while most existing methods for duty-cycled scheduling are accompanied with large approximation bounds that increase linearly with the cycling period length of the duty-cycled model.
引用
收藏
页码:1249 / 1260
页数:12
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