Quality-Aware Traffic Offloading in Wireless Networks

Wenjie Hu, Guohong Cao

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

In cellular networks, due to many practical deployment issues, some areas have good wireless coverage while other areas may not. This results in significant throughput (service quality) difference between wireless carriers at some locations. We first analyze the factors that affect the service quality and then validate the existence of service quality difference between different carriers via extensive measurements. To deal with this problem, a mobile device (node) with low service quality can offload its data traffic to nearby nodes with better service quality through Device-to-Device interfaces, such as WiFi direct, to save energy and reduce delay. To achieve this goal, we propose a Quality-Aware Traffic Offloading (QATO) framework to offload network tasks to neighboring nodes with better service quality. QATO can identify neighbors with better service quality and motivate nodes to help each other using incentive schemes. To validate our design, we have implemented QATO on Android platform and have developed a web browser and a photo uploader on top of it. Experimental results show that QATO can significantly reduce energy and delay for both data downloading and uploading. Through trace-driven simulations, we also show that all users can benefit from data offloading in the long run.

Original languageEnglish (US)
Article number7891063
Pages (from-to)3182-3195
Number of pages14
JournalIEEE Transactions on Mobile Computing
Volume16
Issue number11
DOIs
StatePublished - Nov 1 2017

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Quality-Aware Traffic Offloading in Wireless Networks'. Together they form a unique fingerprint.

Cite this