dc.contributor.author |
Mamushiane, Lusani
|
|
dc.contributor.author |
Mwangama, J
|
|
dc.contributor.author |
Lysko, Albert A
|
|
dc.contributor.author |
Kobo, Hlabishi I
|
|
dc.date.accessioned |
2023-01-17T07:00:10Z |
|
dc.date.available |
2023-01-17T07:00:10Z |
|
dc.date.issued |
2022-08 |
|
dc.identifier.citation |
Mamushiane, L., Mwangama, J., Lysko, A.A. & Kobo, H.I. 2022. 5G network slice resource overbooking: An opportunity for telcos to boost their revenue. http://hdl.handle.net/10204/12582 . |
en_ZA |
dc.identifier.isbn |
978-0-6397-2773-8 |
|
dc.identifier.uri |
http://hdl.handle.net/10204/12582
|
|
dc.description.abstract |
The global impact of COVID-19 has been unprecedented, with over-the-top (OTT) services consumption growing at a staggering rate. While OTT does consume revenue-generating data, OTT services are gradually substituting the traditional primary sources of revenue, voice and SMS services, with “freemium-based” alternatives such as WhatsApp and Telegram. This has driven telcos to reconsider their strategies and revenue sources. We believe that 5G network slicing (a type of 5G infrastructure sharing) is a potential solution that telcos could adopt to boost their revenue. In particular, this paper introduces the concept of network slice resource overbooking. We consider leveraging machine learning (ML) to maximise network resource utilisation which translates to maximum revenue gains for telcos. The concept of overbooking is unique and novel in network slicing. To realise this objective, we intend to build a mathematical model of the overbooking strategy, and integrate the model into a resource orchestration platform for evaluation on an emulated 3GPP (Release 16) compliant 5G testbed. |
en_US |
dc.format |
Fulltext |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://www.satnac.org.za/proceedings |
en_US |
dc.source |
Southern Africa Telecommunication Networks and Applications Conference (SATNAC) 2022, Fancourt, George, Western Cape, South Africa, 28 - 30 August 2022 |
en_US |
dc.subject |
5G |
en_US |
dc.subject |
Forecasting |
en_US |
dc.subject |
Infrastructure sharing |
en_US |
dc.subject |
Machine learning |
en_US |
dc.subject |
Network slicing |
en_US |
dc.subject |
Resource overbooking |
en_US |
dc.subject |
Revenue management |
en_US |
dc.title |
5G network slice resource overbooking: An opportunity for telcos to boost their revenue |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
14-19 |
en_US |
dc.description.note |
Paper presented at the Southern Africa Telecommunication Networks and Applications Conference (SATNAC) 2022, Fancourt, George, Western Cape, South Africa, 28 - 30 August 2022 |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.description.impactarea |
Cloud & Network Architectures |
en_US |
dc.description.impactarea |
Spectrum Access Mgmt Innov |
en_US |
dc.identifier.apacitation |
Mamushiane, L., Mwangama, J., Lysko, A. A., & Kobo, H. I. (2022). 5G network slice resource overbooking: An opportunity for telcos to boost their revenue. http://hdl.handle.net/10204/12582 |
en_ZA |
dc.identifier.chicagocitation |
Mamushiane, Lusani, J Mwangama, Albert A Lysko, and Hlabishi I Kobo. "5G network slice resource overbooking: An opportunity for telcos to boost their revenue." <i>Southern Africa Telecommunication Networks and Applications Conference (SATNAC) 2022, Fancourt, George, Western Cape, South Africa, 28 - 30 August 2022</i> (2022): http://hdl.handle.net/10204/12582 |
en_ZA |
dc.identifier.vancouvercitation |
Mamushiane L, Mwangama J, Lysko AA, Kobo HI, 5G network slice resource overbooking: An opportunity for telcos to boost their revenue; 2022. http://hdl.handle.net/10204/12582 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Mamushiane, Lusani
AU - Mwangama, J
AU - Lysko, Albert A
AU - Kobo, Hlabishi I
AB - The global impact of COVID-19 has been unprecedented, with over-the-top (OTT) services consumption growing at a staggering rate. While OTT does consume revenue-generating data, OTT services are gradually substituting the traditional primary sources of revenue, voice and SMS services, with “freemium-based” alternatives such as WhatsApp and Telegram. This has driven telcos to reconsider their strategies and revenue sources. We believe that 5G network slicing (a type of 5G infrastructure sharing) is a potential solution that telcos could adopt to boost their revenue. In particular, this paper introduces the concept of network slice resource overbooking. We consider leveraging machine learning (ML) to maximise network resource utilisation which translates to maximum revenue gains for telcos. The concept of overbooking is unique and novel in network slicing. To realise this objective, we intend to build a mathematical model of the overbooking strategy, and integrate the model into a resource orchestration platform for evaluation on an emulated 3GPP (Release 16) compliant 5G testbed.
DA - 2022-08
DB - ResearchSpace
DP - CSIR
J1 - Southern Africa Telecommunication Networks and Applications Conference (SATNAC) 2022, Fancourt, George, Western Cape, South Africa, 28 - 30 August 2022
KW - 5G
KW - Forecasting
KW - Infrastructure sharing
KW - Machine learning
KW - Network slicing
KW - Resource overbooking
KW - Revenue management
LK - https://researchspace.csir.co.za
PY - 2022
SM - 978-0-6397-2773-8
T1 - 5G network slice resource overbooking: An opportunity for telcos to boost their revenue
TI - 5G network slice resource overbooking: An opportunity for telcos to boost their revenue
UR - http://hdl.handle.net/10204/12582
ER - |
en_ZA |
dc.identifier.worklist |
26288 |
en_US |