Traffic offloading for 5G

L-LTE or Wi-Fi

Ibrahim Elgendi, Kumudu S. Munasinghe, Abbas Jamalipour

Research output: A Conference proceeding or a Chapter in BookConference contribution

3 Citations (Scopus)

Abstract

To cope with increasing mobile data traffic, researchers are currently working on traffic offloading techniques for delivering data over unlicensed cellular bands. Current offloading schemes based on offloading data to Wi-Fi regardless Wi-Fi has sufficient throughput or not. Though, we propose a novel offloading technique based on the Remaining Throughput Scheme (RTS) for Wi-Fi selection. In our proposed RTS technique, data is offloaded from the Unlicensed Long-Term Evolution (U-LTE) network such as Pico/Femto cells or Programmable Base Stations (PBSs) to Wi-Fi Access Points. Further, we propose Distance-based Transfer (DT) and Speed-based Transfer (ST) schemes to transfer users from PBS to Wi-Fi or Licensed LTE (L-LTE) Base Stations (BSs), where the transfer process relies on distance and speed of users, respectively. In this paper, the following three important issues relating to facilitating this transfer are addressed: which Wi-Fi Access Point (AP) should be selected to transfer users, which U-LTE users should be transferred to Wi-Fi, and which U-LTE users should be transferred to L-LTE. Network performance will increase by using RTS, DT and ST schemes as per the analytical evaluations presented.

Original languageEnglish
Title of host publication2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
Subtitle of host publicationIECCO: Integrating Edge Computing, Caching, and Offloading in Next Generation Networks
Place of PublicationAtlanta, US
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages748-753
Number of pages6
ISBN (Electronic)9781538627846
ISBN (Print)9781538627853
DOIs
Publication statusPublished - 1 May 2017
Event2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017 - Atlanta, United States
Duration: 1 May 20174 May 2017

Conference

Conference2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
CountryUnited States
CityAtlanta
Period1/05/174/05/17

Fingerprint

Wi-Fi
Traffic
Long Term Evolution (LTE)
Throughput
Base stations
Femtocell
Network Evolution
Network performance
Network Performance
Sufficient
Evaluation

Cite this

Elgendi, I., Munasinghe, K. S., & Jamalipour, A. (2017). Traffic offloading for 5G: L-LTE or Wi-Fi. In 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017: IECCO: Integrating Edge Computing, Caching, and Offloading in Next Generation Networks (pp. 748-753). [8116470] Atlanta, US: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/INFCOMW.2017.8116470
Elgendi, Ibrahim ; Munasinghe, Kumudu S. ; Jamalipour, Abbas. / Traffic offloading for 5G : L-LTE or Wi-Fi. 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017: IECCO: Integrating Edge Computing, Caching, and Offloading in Next Generation Networks. Atlanta, US : IEEE, Institute of Electrical and Electronics Engineers, 2017. pp. 748-753
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title = "Traffic offloading for 5G: L-LTE or Wi-Fi",
abstract = "To cope with increasing mobile data traffic, researchers are currently working on traffic offloading techniques for delivering data over unlicensed cellular bands. Current offloading schemes based on offloading data to Wi-Fi regardless Wi-Fi has sufficient throughput or not. Though, we propose a novel offloading technique based on the Remaining Throughput Scheme (RTS) for Wi-Fi selection. In our proposed RTS technique, data is offloaded from the Unlicensed Long-Term Evolution (U-LTE) network such as Pico/Femto cells or Programmable Base Stations (PBSs) to Wi-Fi Access Points. Further, we propose Distance-based Transfer (DT) and Speed-based Transfer (ST) schemes to transfer users from PBS to Wi-Fi or Licensed LTE (L-LTE) Base Stations (BSs), where the transfer process relies on distance and speed of users, respectively. In this paper, the following three important issues relating to facilitating this transfer are addressed: which Wi-Fi Access Point (AP) should be selected to transfer users, which U-LTE users should be transferred to Wi-Fi, and which U-LTE users should be transferred to L-LTE. Network performance will increase by using RTS, DT and ST schemes as per the analytical evaluations presented.",
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Elgendi, I, Munasinghe, KS & Jamalipour, A 2017, Traffic offloading for 5G: L-LTE or Wi-Fi. in 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017: IECCO: Integrating Edge Computing, Caching, and Offloading in Next Generation Networks., 8116470, IEEE, Institute of Electrical and Electronics Engineers, Atlanta, US, pp. 748-753, 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017, Atlanta, United States, 1/05/17. https://doi.org/10.1109/INFCOMW.2017.8116470

Traffic offloading for 5G : L-LTE or Wi-Fi. / Elgendi, Ibrahim; Munasinghe, Kumudu S.; Jamalipour, Abbas.

2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017: IECCO: Integrating Edge Computing, Caching, and Offloading in Next Generation Networks. Atlanta, US : IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 748-753 8116470.

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - Traffic offloading for 5G

T2 - L-LTE or Wi-Fi

AU - Elgendi, Ibrahim

AU - Munasinghe, Kumudu S.

AU - Jamalipour, Abbas

PY - 2017/5/1

Y1 - 2017/5/1

N2 - To cope with increasing mobile data traffic, researchers are currently working on traffic offloading techniques for delivering data over unlicensed cellular bands. Current offloading schemes based on offloading data to Wi-Fi regardless Wi-Fi has sufficient throughput or not. Though, we propose a novel offloading technique based on the Remaining Throughput Scheme (RTS) for Wi-Fi selection. In our proposed RTS technique, data is offloaded from the Unlicensed Long-Term Evolution (U-LTE) network such as Pico/Femto cells or Programmable Base Stations (PBSs) to Wi-Fi Access Points. Further, we propose Distance-based Transfer (DT) and Speed-based Transfer (ST) schemes to transfer users from PBS to Wi-Fi or Licensed LTE (L-LTE) Base Stations (BSs), where the transfer process relies on distance and speed of users, respectively. In this paper, the following three important issues relating to facilitating this transfer are addressed: which Wi-Fi Access Point (AP) should be selected to transfer users, which U-LTE users should be transferred to Wi-Fi, and which U-LTE users should be transferred to L-LTE. Network performance will increase by using RTS, DT and ST schemes as per the analytical evaluations presented.

AB - To cope with increasing mobile data traffic, researchers are currently working on traffic offloading techniques for delivering data over unlicensed cellular bands. Current offloading schemes based on offloading data to Wi-Fi regardless Wi-Fi has sufficient throughput or not. Though, we propose a novel offloading technique based on the Remaining Throughput Scheme (RTS) for Wi-Fi selection. In our proposed RTS technique, data is offloaded from the Unlicensed Long-Term Evolution (U-LTE) network such as Pico/Femto cells or Programmable Base Stations (PBSs) to Wi-Fi Access Points. Further, we propose Distance-based Transfer (DT) and Speed-based Transfer (ST) schemes to transfer users from PBS to Wi-Fi or Licensed LTE (L-LTE) Base Stations (BSs), where the transfer process relies on distance and speed of users, respectively. In this paper, the following three important issues relating to facilitating this transfer are addressed: which Wi-Fi Access Point (AP) should be selected to transfer users, which U-LTE users should be transferred to Wi-Fi, and which U-LTE users should be transferred to L-LTE. Network performance will increase by using RTS, DT and ST schemes as per the analytical evaluations presented.

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KW - Femtocells

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KW - NBE

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KW - Remaining Throughput Scheme

KW - U-LTE

KW - Unlicensed Spectrum Band

KW - Wi-Fi

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U2 - 10.1109/INFCOMW.2017.8116470

DO - 10.1109/INFCOMW.2017.8116470

M3 - Conference contribution

SN - 9781538627853

SP - 748

EP - 753

BT - 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Atlanta, US

ER -

Elgendi I, Munasinghe KS, Jamalipour A. Traffic offloading for 5G: L-LTE or Wi-Fi. In 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017: IECCO: Integrating Edge Computing, Caching, and Offloading in Next Generation Networks. Atlanta, US: IEEE, Institute of Electrical and Electronics Engineers. 2017. p. 748-753. 8116470 https://doi.org/10.1109/INFCOMW.2017.8116470