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5G network slice resource overbooking: An opportunity for telcos to boost their revenue

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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


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