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Case study on using the user-centric-backhaul scheme to unlock the realistic backhaul

Jaber, M; Imran, MA; Tukmanov, A; Sutton, A; Tafazolli, R

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Authors

M Jaber

MA Imran

A Tukmanov

A Sutton

R Tafazolli



Abstract

The fifth generation of mobile networks (5G) is maturing fast and the target year 2020 is around the corner. However, the realistic backhaul network may not be ready for 5G arrival as it is likely to converge to 5G requirements at a slower pace than the radio counterpart. In this work, we develop a method that identifies pertinent backhaul upgrade stages that are ranked based on their associated cost. First, the User-centric- backhaul (UCB) scheme is employed to reveal the bottlenecks of the incumbent backhaul network, as perceived by users and holistic network. A multi- hop hybrid backhaul modelling framework is then employed to quantify possible rectifications that would deliver the highest improvement at the lowest cost. These are implemented and the results are verified following another usage of UCB. A case study is presented that demonstrates the strength of this method in enabling an effective and cost efficient evolution road map towards the 5G backhaul.

Citation

Jaber, M., Imran, M., Tukmanov, A., Sutton, A., & Tafazolli, R. (2017, September). Case study on using the user-centric-backhaul scheme to unlock the realistic backhaul. Presented at 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), Toronto, Canada

Presentation Conference Type Other
Conference Name 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)
Conference Location Toronto, Canada
Start Date Sep 24, 2017
End Date Sep 27, 2017
Online Publication Date Feb 12, 2018
Publication Date Feb 12, 2018
Deposit Date Apr 26, 2018
Publicly Available Date Apr 26, 2018
DOI https://doi.org/10.1109/VTCFall.2017.8288353
Publisher URL http://dx.doi.org/10.1109/VTCFall.2017.8288353
Related Public URLs https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8283330
Additional Information Additional Information : © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Event Type : Conference
Funders : Engineering and Physical Sciences Research Council (EPSRC);BT Research and Innovation

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