Wireless Networks

, Volume 24, Issue 4, pp 1033–1042 | Cite as

Wi-Fi offloading between LTE and WLAN with combined UE and BS information

  • Ying-Dar Lin
  • Chia-Yu Ku
  • Yuan-Cheng Lai
  • Yun-Hao Liang


With the increasing popularity of mobile devices, cellular networks are suffering the consequences of a mobile data traffic explosion. Operators and standard development organizations have adopted Heterogeneous Network (HetNet) solutions which offload traffic from cellular networks to other Radio Access Technologies to reduce the overloaded situation. To minimize service blocking ratios, HetNets need to be designed with an efficient approach to allocate heterogeneous channel resources. This work proposes a Combined UE and BS Information scheme (CUBI), which follows the standard architecture proposed by 3rd generation partnership project. We compare the impacts of using the User Equipment (UE) information only, and Base Stations (BS) information only to achieve network selection. We then propose a 2-round solution that benefits from both UE and BS information. The UE-information scheme is based on channel qualities of all available networks, and using it selects the network which provides the highest data rate. On the other hand, the BS-information scheme (BSI) is based on traffic loads of all UEs to allocate bandwidth, and using BSI will prevent BSs from overload situations. The simulation results demonstrate that CUBI can decrease service blocking ratios by 26 and 8.9 %, compared to schemes separately using US and BS information, respectively.


LTE WLAN Heterogeneous Networks Network selection Vertical handoff 


Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent

Informed consent was obtained from all individual participants included in the study.


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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Ying-Dar Lin
    • 1
  • Chia-Yu Ku
    • 1
  • Yuan-Cheng Lai
    • 2
  • Yun-Hao Liang
    • 1
  1. 1.Department of Computer ScienceNational Chiao Tung UniversityHsinchuTaiwan
  2. 2.Department of Information ManagementNational Taiwan University of Science and TechnologyTaipeiTaiwan

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