CASE STUDY
The question for operators is no longer simply how to build bigger networks. It is how to make those networks more intelligent, responsive and efficient.
The reported 15x improvement in processing times under certain conditions illustrates what accelerated computing could bring to demanding network workloads. The approximately 40 % reduction in power consumption is equally important.
Operators have traditionally added capacity as traffic grows. If more processing can be completed quickly and efficiently, there is potentially another route: make the underlying infrastructure smarter rather than simply bigger.
Wireless networks are inherently noisy environments. Interference and signal distortion can lead systems to identify events that do not represent genuine network-access attempts.
GlobalLogic used deep-learning models to address the problem and reports a 99.98 % reduction in false detections during its test.
The broader lesson is that AI does not necessarily have to mean more computation. Used effectively, it can also mean less wasted computation.
AI-RAN’ s development is closely linked to Open RAN.
By separating network functions and encouraging greater interoperability between hardware and software components, Open RAN creates an environment in which softwaredefined capabilities and alternative computing architectures can play a larger role.
That matters because AI-RAN is unlikely to be a single piece of equipment that operators simply install. It is better understood as an architectural shift bringing together radio systems, software, AI models, accelerated computing and distributed processing.
For Latin American operators, that could eventually provide a route to introducing new capabilities incrementally rather than treating the transition to future networks as one massive upgrade.
GlobalLogic’ s experiments do not prove that AI-RAN is ready to transform commercial mobile networks overnight. They demonstrate, in a controlled 5G Open RAN environment, that the underlying technologies can produce measurable gains.
The region’ s next connectivity challenge will not simply be about adding more towers, spectrum or capacity. It will be about extracting more intelligence and efficiency from the infrastructure being built today.
If the mobile network of the future can dynamically decide where to compute, where to save energy and what to ignore, the next revolution in connectivity may be less visible than the last one. It may happen inside the network itself. •
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INTELLIGENT CIO LATAM www. intelligentcio. com