| Title: |
GPON and V-band mmWave in green backhaul solution for 5G ultra-dense network |
| Authors: |
Ajani, Ayodeji Akeem; Oduol, Vitalice Kalecha; Adeyemo, Zachaeus Kayode |
| Contributors: |
African Union Commission |
| Source: |
International Journal of Electrical and Computer Engineering (IJECE); Vol 11, No 1: February 2021; 390-401 ; 2722-2578 ; 2088-8708 ; 10.11591/ijece.v11i1 |
| Publisher Information: |
Institute of Advanced Engineering and Science |
| Publication Year: |
2021 |
| Subject Terms: |
Telecommunication: Computer Networks; 5G; G-PON; green backhaul solutions; ultra-dense networks; V-band mmWave |
| Description: |
Ultra-dense network (UDN) is characterized by massive deployment of small cells which resulted into complex backhauling of the cells. This implies that for 5G UDN to be energy efficient, appropriate backhauling solutions must be provided. In this paper, we have evaluated the performance of giga passive optical network (GPON) and V-band millimetre wave (mmWave) in serving as green backhaul solution for 5G UDN. The approach was to first reproduce existing backhaul solutions in Very Dense Network (VDN) scenario which served as benchmark for the performance evaluation for the UDN scenario. The best two solutions, GPON and V-band solutions from the VDN were then deployed in 5G UDN scenario. The research was done by simulation in MATLAB. The performance metrics used were power consumption and energy efficiency against the normalized hourly traffic profile. The result revealed that GPON and V-band mmWave outperformed other solutions in VDN scenario. However, this performance significantly dropped in the UDN scenariodue to higher data traffic requirement of UDN compared to VDN. Thus, it can be concluded that GPON and V-band mmWave are not best suited to serve as green backhaul solution for 5G UDN necessitating further investigation of other available backhaul technologies. |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
https://ijece.iaescore.com/index.php/IJECE/article/view/22526/14497; https://ijece.iaescore.com/index.php/IJECE/article/view/22526 |
| DOI: |
10.11591/ijece.v11i1.pp390-401 |
| Availability: |
https://ijece.iaescore.com/index.php/IJECE/article/view/22526; https://doi.org/10.11591/ijece.v11i1.pp390-401 |
| Rights: |
Copyright (c) 2021 Ayodeji Akeem Ajani, Vitalice Kalecha Oduol, Zachaeus Kayode Adeyemo ; http://creativecommons.org/licenses/by-sa/4.0 |
| Accession Number: |
edsbas.E458DBAF |
| Database: |
BASE |