Open access Jurnal SINTA 1
GPON and V-band mmWave in green backhaul solution for 5G ultra-dense network
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 11 No. 1 (2021)
- ISSN
- 2722-2578, 2088-8708
- Published
- 2021-02-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
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.
Collaboration network of the authors
19 authors · 42 co-authorship links · 19 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Ladoke Akintola University of Technology
- Dyson Institute of Engineering and Technology
- Pan-Atlantic University
- University of Nairobi
- Bowen University
- Technical University of Kenya
- Osun State University
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Isaac Adewale Ojedokun | Bowen University | 1 |
| Damilare Oluwole Akande | Ladoke Akintola University of Technology | 1 |
| Ebude Carine Awasume | Affiliation unknown | 1 |
| Stephen Musyoki | Technical University of Kenya | 1 |
| Ridwan Olalekana Yusuf | Ladoke Akintola University of Technology | 1 |
| Hammed Oyebamiji Lasisi | Osun State University | 1 |
| Samson Iyanda Ojo | Ladoke Akintola University of Technology | 1 |
| Rebecca Olufunmilayoa Omowaiye | Affiliation unknown | 1 |
| Adebukola Ayoade Adedeji | Affiliation unknown | 1 |
| Aliyu D. Usman | Ahmadu Bello University | 1 |
| Abduljalal Yusha’u Kassim | Pan African University Institute for Basic Sciences, Technology and Innovation | 1 |
| Kayode Popoola | Dyson Institute of Engineering and Technology | 1 |
| Stuart Alan Nicholson | Dyson Institute of Engineering and Technology | 1 |
| Muheeb Ahmed | Dyson Institute of Engineering and Technology | 1 |
| Srilatha Narayangari Pamuri | Affiliation unknown | 1 |
| Ibrahim Bala Alhassan | Coventry University | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.