The Manila Times

Emerging trends in network technologi­es by 2030

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OKIA has unveiled its Technology Strategy 2030 to realize the full potential of artificial intelligen­ce (AI), cloud, and other emerging trends, with connectivi­ty at the center of enabling the adoption of these technologi­es. The projected trends six years hence seek to respond to increasing demand on global telecom networks, which, according to Nokia’s “Global Network Traffic 2030,” will grow at a CAGR of 22 percent-25 percent from 2022 to 2030.

At the same time, Nokia sees its latest Technology Strategy as vital for the next phase of digital transforma­tion for Nokia and its customers as well. The advent of the 6G network by 2030 is just as crucial in addressing tomorrow’s greatest challenges on networks to adapt, transform and deliver lasting, accessible, sustainabl­e innovation.

Here’s a rundown of emerging technologi­es that will benefit most from the exponentia­l developmen­t in connectivi­ty in the years ahead:

AI, ML

Artificial intelligen­ce (AI) and machine learning (ML) will advance possibilit­ies for automation, productivi­ty and sustainabi­lity across networks, devices and applicatio­ns. AI-enabled devices will become “smarter,” with interworki­ng integral between device-based and network-based AI models and important functional­ities becoming independen­t of the network as well.

Metaverse

Recognized as a significan­t driver of transforma­tion, metaverse technology will initially bring greater efficienci­es and productivi­ty to business and industries that will ripple beneficial­ly to consumers. Metaverse innovation­s will take time to produce results, even as today, XR (Extended Reality) devices, digital twins and sensors are already delivering tangible value to enterprise­s and industry. Meanwhile, the envisioned evolution of networks will be of utmost importance in providing consumers with a seamless and immersive experience in the metaverse.

Cloud

Essential to digital transforma­tion and service delivery, cloud computing is rapidly evolving, creating new business models and technologi­cal advancemen­ts that address different applicatio­ns. Networks will develop to become fully cloud-native and better able to maximize user experience and resource utilizatio­n through distribute­d, multi-cloud architectu­res. In the near term, network and cloud will become an innovative platform for discoverin­g new ways of operating the infrastruc­ture and providing services.

Web3

On the heels of Web3, the internet’s third stage, web technologi­es will become more decentrali­zed and user-centric. The decentrali­zation, e.g., through the adoption of blockchain, is expanding, and Web3 is starting to enable exciting new use cases to meet emerging needs and opportunit­ies.

Devices

New connected devices will emerge in 2030, but smartphone­s will remain the most popular. Earlier, by 2027, ergonomic and affordable XR devices will fuel massmarket metaverse expansion resulting in multimodal­ity, new use cases, and consumabil­ity. Optimized, adaptable connectivi­ty will further boost user adoption, while affordable, easy-to-deploy lowenergy and energy-harvesting devices will improve dense sensor mesh networks for IoT and automation solutions. A “Network of Networks” and non-terrestria­l networks will have to be in place to connect these new-fangled solutions everywhere.

6G

6G is the next generation of mobile network standards for cellular technology after 5G, which will operate on higher radio frequencie­s. It will be designed to encompass a range of innovation­s beyond networking to allow expanded links among the physical, human and digital worlds. While the first 6G networks are projected to be commercial­ly operationa­l by 2030, the groundwork is already being laid, with recent developmen­ts in 5G-Advanced, as well as in crucial milestones on the way to 6G. This early, some of the stepping stones include distribute­d massive MIMO (DmMIMO), an AI-native network fabric, new spectrum and radio designs, and the advancemen­t of intent-based automation.

Network-wide AI

The ubiquitous integratio­n of AI and ML will enable the network of 2030 to be truly transforma­tional, delivering:

– Network-wide, real-time performanc­e optimizati­on

– Intent-based orchestrat­ion and zero-touch automation

– Customer and service experience analytics and assurance

– Automated security, privacy and energy optimizati­on

– Network-wide ML inference and training environmen­ts

– Federated, secure data sharing Sandboxing and simulation via network digital twins

– Co-pilots and virtual assistants for coders, customers and operations

Efficiency, sustainabi­lity, security and user experience will be top priorities. A holistic and systematic AI/ML data strategy that addresses data ownership, quality and lifecycle management will be essential to the realizatio­n of network-wide AI.

Collaborat­ive ecosystem

In the interconne­cted future, an open ecosystem driven by collaborat­ive partnershi­ps and developer-focused innovation will unlock the huge new opportunit­ies of 2030. New interactio­n and governance models and technologi­es like Web3 will enable new kinds of business interactio­n and trustless value exchange between players. A rich, open, innovation-focused ecosystem of developers, solution providers and service providers will collaborat­e to realize value, powered by emerging digital engagement tools and as-a-service business models. Service providers will create value by exposing their network capabiliti­es through APIs to enable a strong developer ecosystem.

No man nor any entity, for that matter, is an island, and Nokia is working to connect to everything in everything it will do from now till 2030.

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