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

页码：1249 / 1260

页数：12

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