D2D Task Offloading: A Dataset-Based Q&A

被引：23

作者：

Chatzopoulos, Dimitris ^{[1
]}

Bermejo, Carlos ^{[2
]}

ul Haq, Ehsan ^{[2
]}

Li, Yong ^{[5
]}

Hui, Pan ^{[3
,4
]}

机构：

[1] Hong Kong Univ Sci & Technol, Dept Comp Sci & Engn, Hong Kong, Peoples R China

[2] Hong Kong Univ Sci & Technol, Hong Kong, Peoples R China

[3] Hong Kong Univ Sci & Technol, HKUST DT Syst & Media Lab, Hong Kong, Peoples R China

[4] Univ Helsinki, Data Sci, Helsinki, Finland

[5] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China

来源：

IEEE COMMUNICATIONS MAGAZINE | 2019年 / 57卷 / 02期

关键词：

15;

D O I：

10.1109/MCOM.2018.1700873

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

D2D interactions are promoted both in the context of traffic and computation offloading. Applications with functionalities that are executed in parallel in more than one mobile device have been proposed while the idea of using another mobile device as a relay is going to be part of 5G. In this work, we first present the main types of D2D applications, then we discuss the characteristics of task offloading and the quality of experience in D2D ecosystems. After that, we list five popular questions regarding the ability of other users to be helpful in terms of resources, connectivity, availability, incentives, and security. To answer the listed questions, we use two mobile big data datasets, one experimental study, and arguments from our experience and the literature.

引用

页码：102 / 107

页数：6

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