Software program-centric architectures, unified information methods and sensible AI use circumstances are turning operator ambition into operational actuality
Synthetic intelligence (AI) has develop into the defining expertise narrative throughout the telecommunications business. For cell community operators (MNOs), the problem, and alternative, is to use AI in ways in which ship measurable operational beneficial properties at present whereas laying the muse for extra autonomous networks sooner or later.Â
Samsung Networks sees lots of the most promising AI purposes in telecoms rising the place information, software program and operational pragmatism intersect—main the way in which to community autonomy.
Beginning with solvable issues
Whereas Samsung is working to actualize absolutely autonomous networks by 2027, the corporate’s near-term analysis has targeted on high-impact use circumstances, together with enabling extra vitality environment friendly operation of the radio entry community (RAN). Energy optimization has confirmed to be fertile floor for AI as a result of it combines clear financial incentives with ample, structured community information.
Samsung discovered that AI-driven optimization may considerably outperform current guide approaches already utilized by operators. Samsung engineers had been capable of validate a most energy consumption financial savings of 35% for a key operator, through the use of particular person cell visitors patterns to regulate the time at which parts of the community turned off.
By adapting community conduct to native utilization situations, AI permits extra granular and aggressive power-saving methods with out compromising efficiency. These sorts of focused wins assist operators construct confidence in AI programs and create momentum towards broader automation.
Making use of AI to complicated radio choices
Past vitality financial savings, Samsung is utilizing AI for complicated RAN optimization challenges that historically depend on deep human experience. One instance entails balancing capability and protection by means of antenna parameter optimization, which led to round a 9% uplift in throughput with none lack of connectivity.
These outcomes, initially validated in simulation and now progressing towards real-world deployment, reveal how AI can increase even highly-specialized engineering domains. Nonetheless, as AI turns into extra pervasive throughout the community, new challenges could emerge round coordination, prioritization and battle decision between a number of automated programs.
Information and software program as foundational enablers
For operators looking for to maneuver past pilots, success with AI depends upon two foundational pillars: information and software program. Quantity and high quality of knowledge is important, particularly when working towards end-to-end optimization, and the secret is to mixture information from all components of the networks into one, central place.
Samsung’s strategy is to interrupt down conventional information silos throughout RAN, core and administration domains; this information is then unified in a typical layer the place AI fashions will be utilized holistically. Softwarization is the opposite aspect of the coin and unlocks a brand new stage of flexibility. By decoupling software program from {hardware} throughout the community, operators achieve the flexibleness to dynamically place workloads the place they ship one of the best efficiency and effectivity.
From automation to autonomy
Samsung’s CognitiV Community Operations Suite is designed to help this incremental journey, permitting operators to start out with narrowly targeted optimizations and increase towards extra autonomous conduct over time. The emphasis is on belief and gradual transformation slightly than abrupt disruption.
Over time, as AI programs transfer from providing suggestions to taking direct motion, operators can cut back operational complexity, decrease working prices and reallocate human experience towards higher-value duties. In Samsung’s view, that development from assisted automation to trusted autonomy is the place AI’s long-term worth in telecoms will in the end be realized.
