Jaber, M, Imran, MA, Tukmanov, A, Sutton, A and Tafazolli, R 2018, Case study on using the user-centric-backhaul scheme to unlock the realistic backhaul , in: 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 24-27 September 2017, Toronto, Canada.
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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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| 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. |
| Schools: | Schools > School of Computing, Science and Engineering |
| Journal or Publication Title: | 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall) |
| Publisher: | IEEE |
| Related URLs: | |
| Funders: | Engineering and Physical Sciences Research Council (EPSRC), BT Research and Innovation |
| Depositing User: | Institutional Repository |
| Date Deposited: | 26 Apr 2018 07:30 |
| Last Modified: | 16 Feb 2022 18:47 |
| URI: | http://usir.salford.ac.uk/id/eprint/46847 |
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