Role of AI and Key Design Considerations
New challenges introduced by the increasing pace of change and complexity in the industry, combined with the pressure for more cost efficiency, better retention, and intensified competition are pushing mobile network operators (MNOs) to transform network operation centers (NOCs) from network-centric operation to customer-centric service operation centers (SOCs). Deficiencies inherent to the network-centric approach limit customer visibility and services that were impacted by a “static” network event. Likewise, a service degradation, device, or partner failure may not trigger a network event and could go unnoticed, increasing inbound calls or churn.
2020 will mark the 50th anniversary of the publication of Alvin Toffler’s futurist forecast of the impact of the digital revolution. Future Shock was published in 1970, when the digital revolution was in its infancy. Toffler was writing at a time of mainframes and punch cards – no disk storage and certainly no PCs or cell phones. And the smartphone was more than a generation away. Yet, his insights resonate as strongly today as they did 50 years ago, maybe more so.
In the intervening years, the industry has implemented four generations of mobile technology and is starting on the fifth. 5G promises 10 Gbps of throughput – 10 times the
speed of 4G – and 10 ms of latency – 1/10th the latency of 4G. In addition to the new radio access network (RAN) technology – part of any new mobile generation – the mobile core will evolve to a new Service-Based Architecture (SBA). The changes do not stop here. 5G is now generally considered to include edge computing, cloud-native, container-based applications, and network slicing. While all these ancillary technologies can be implemented in 4G, the growing consensus is that they are mandatory with 5G. Together, these technologies will revolutionize the network at a pace that makes us question how the communications service providers (CSPs) will keep up.
In this white paper, Heavy Reading looks specifically at network slicing: what it is, why it is needed, what some of its dependencies are, and how the CSPs are likely to monetize it. What is clear from our research is that in order to succeed, 5G needs network slicing. In order for network slicing to succeed, it needs full life cycle orchestration and automation.
True E2E automation has not yet been achieved, but network automation is a reality now, and one which telcos must master to survive. What steps are telcos taking to implement network automation, what challenges must be overcome and what benefits can be expected?
In this report STL Partners explore the opportunities, ambitions and challenges for operators grappling with end-to-end network (E2E) automation. They define E2E as referring to the lifecycle of a network, encompassing automation across network planning, innovation, provisioning,optimisation, orchestration and security.
Wireless 20/20 believes that AI will play a crucial role in helping operators to maximize returns on their 5G network investments. AI will open exciting opportunities for the mobile communications sector to proactively manage the costs of deploying and maintaining new 5G networks while helping to power the Fourth Industrial Revolution. 5G networks are expected to cover more than 40% of the world’s population, and total mobile data traffic is predicted to have increased by a factor of 5 by 2024. With the advent of 5G, service providers are making huge investments in their networks to enable the new use cases that 5G offers. This White Paper focuses on the convergence of 5G and AI that will enable the growth of IoT, accelerate enterprise digital transformation and unleash new business opportunities.