Performance Optimization of Delayed WiFi Offloading in Heterogeneous Networks

Haneul Ko, Jaewook Lee, Sangheon Pack

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


In the delayed WiFi offloading, since data are downloaded only through WiFi networks before a predefined delay timer expires, the performance of the delayed WiFi offloading is affected by the delay timer value. To assess the performance of the delayed WiFi offloading, we develop analytical models for the expected saving monetary cost and download completion time. Based on these analytical models, the optimal delay timer is derived to maximally save the monetary cost while maintaining the outage probability on the download time at low level. Evaluation results demonstrate the effects of the average cellular-only residence time and WiFi data rate, and show that better performance can be achieved when the delay timer is set to the optimal value.

Original languageEnglish
Article number7924325
Pages (from-to)9436-9447
Number of pages12
JournalIEEE Transactions on Vehicular Technology
Issue number10
Publication statusPublished - 2017 Oct

Bibliographical note

Funding Information:
Manuscript received March 5, 2017; accepted May 5, 2017. Date of publication May 10, 2017; date of current version October 13, 2017. This work was supported by the National Research Foundation (NRF) of Korea Grant funded by the Korean Government (MSIP) (No. NRF-2014R1A2A1A12066986) and ICT R&D program of MSIP/IITP (2014-044-006-004, Next Generation WLAN System with High Efficient Performance). The review of this paper was coordinated by Prof. W. Song. (Corresponding author: Sangheon Pack.) The authors are with the School of Electrical Engineering, Korea University, Seoul, South Korea (e-mail: [email protected]; [email protected]; [email protected]).

Publisher Copyright:
© 1967-2012 IEEE.


  • Delayed offloading
  • heterogeneous networks
  • optimal timer
  • performance optimization

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


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