Developers: | Huawei |
Last Release Date: | 2020/02/20 |
Technology: | OSS/BSS, Billing systems |
2020: Start of Convergent Billing System (CBS) R20
On February 20, 2020 the Huawei company announced start of a convergent billing system of Convergent Billing System (CBS) R20 — solutions for monetization of 5G networks with autonomous architecture (SA). Earlier the solution was deployed in SA 5G network of stc Kuwait company where service of "dedicated line" is offered to the enterprises with the guaranteed service level (SLA).
Speaking about a business model and an ecosystem, 5G networks are faced by a number of tasks. It is necessary to create for all end users (individuals, households and the enterprises) a universal billing system which will provide monetization at all levels. For February, 2020 our partners also need the flexible and open system promoting fast expansion of business. Therefore Huawei starts CBS R20 system designed to accelerate monetization. Rokred Zhang, the president of division of the software of Huawei company told |
CBS R20 system is developed within large-scale cooperation of Huawei company with partners in a research of business models of a 5G services. A system supports a broad spectrum of the combinations covering 1000 factors of billing in different measurements and also more than 100 combinations of a 5G services. As the Huawei company acted as the chief coauthor of standards of billing of 3GPP for 5G networks, CBS R20 system conforms to the requirements to architecture and the interface of billing services set by consortium 3GPP that guarantees to operators trouble-free modification of networks. A system supports as NSA 5G network (with nonautonomous architecture), and SA 5G networks (with autonomous architecture). Moreover, partners can gain an additional income when opening more than 300 application programming interfaces (API). At the same time CBC R20 system completely supports containerization and virtualization that considerably reduces operating costs thanks to centralized operation and process automation. For example, expansion of capacity will not require operator intervention as this transaction is performed automatically. Using updating online operators will be able to test the updated function in real time that reduces the project implementation period from 4–6 months to one month and less.