As telecom networks become more complex, the integration of rApps (radio applications) and SMO (Service Management and Orchestration) is transforming how operators manage and optimize their networks. These technologies enable dynamic resource allocation, proactive maintenance, and network self-optimization, helping operators build more efficient, intelligent, and adaptable networks.
Recently, industry leaders joined Abe Nejad, Publisher of Network Media Group (NMG), to discuss how AI and real-time data are shaping the future of network automation. The session featured experts from Axiata, Aira Technologies, and Rakuten Mobile.
Speakers:
Watch the full interview here.
The discussion centered on how automation is becoming essential as networks shift toward more software-driven architectures. The general consensus was that operators must move beyond traditional, manual network management and embrace AI-driven decision-making. With SMO and rApps, networks can transition to intent-based operations, where resources are allocated dynamically based on real-time conditions rather than fixed configurations.
Openness and interoperability emerged as critical factors in this shift. Instead of relying on proprietary systems that limit flexibility, the industry is moving toward open RAN principles, allowing operators to integrate solutions from multiple vendors. This approach fosters a collaborative ecosystem where different kinds of players can contribute innovations without being tied to a single technology provider.
Scalability and automation were also key themes. AI is helping engineers reduce repetitive manual tasks by introducing playbooks that can detect and resolve network issues autonomously. Instead of relying on time-consuming troubleshooting, AI-driven systems can analyze patterns, predict potential failures and apply solutions in real time. This shift is driving the evolution toward self-optimizing networks, improving reliability and reducing operational complexity.
Another critical area of discussion was energy efficiency. Power consumption is a major factor in telecom operations, and AI-driven models are helping optimize energy use by analyzing demand fluctuations and adjusting network resources accordingly. This capability is becoming increasingly important as operators look for ways to reduce costs while meeting sustainability goals.
"It's a good world where everything is automated, but at the same time, it shouldn't override or conflict with what different apps are doing. It will be interesting to see how this evolves and how we address these challenges as we move forward."
Stay tuned for more insights from industry leaders on the future of telecom and technology. Follow us for updates on upcoming discussions.
