#3gpp

From May 20 to 22, Asia Tech x SG (ATxSG) 2026 concluded at the Singapore EXPO, gathering global operators, technology innovators, and industry leaders to shape the future of digital ecosystems. At Booth 3G2-7, IPLOOK presented its latest technical developments, focusing on reliable, high-capacity backbone infrastructures engineered for next-generation mobile networks.

The centerpiece of the exhibit was IPLOOK’s 4G/5G Converged Core network. Built to meet the growing need for network modernization in the Asia-Pacific region, the platform offers a practical approach for operators looking to upgrade their infrastructure. The architecture is engineered to support millions of concurrent subscribers, ensuring stable traffic management under heavy loads while maintaining carrier-grade reliability.

A key technical feature highlighted at the event was the solution’s multi-cloud adaptability. The core network can be deployed across major public and private cloud infrastructures, including AWS, Azure, Alibaba Cloud, and Tencent Cloud. This gives operators the flexibility to scale their network capacity horizontally without being locked into specific hardware or cloud providers.

IPLOOK also emphasized its full-stack voice capabilities driven by its IP Multimedia Subsystem (IMS). The portfolio covers essential 3GPP-compliant network functions, including Compact EPC, 5G Core (5GC), and User Plane Function (UPF). Together with the IMS, these components enable operators to deploy integrated, high-definition voice and data services such as VoWiFi, VoLTE, and VoNR, ensuring a smooth transition from legacy systems.

Throughout the three-day event, IPLOOK’s technical team met with regional Wireless Internet Service Providers (WISPs) and enterprise partners to discuss cost-effective migration strategies. Because the platform is software-upgradable, it allows providers to modernize their networks and introduce advanced voice features with minimal disruption to existing operations.

As telecom networks evolve toward cloud-native, multi-generational architectures, the Telco Cloud has become the foundation for 5G and future network innovation. At the same time, rising network complexity, massive traffic growth, and stringent service-level requirements are pushing traditional operation models to their limits. Artificial Intelligence (AI) is now playing a critical role in helping operators manage, optimize, and monetize Telco Cloud infrastructure more efficiently.

One of the most mature and impactful applications is AI-driven operations (AIOps). In cloud-based telecom environments, thousands of virtualized and containerized network functions generate massive volumes of logs, metrics, and alarms. AI algorithms can correlate these multi-source data streams in real time to detect anomalies, predict faults, and identify root causes before service degradation occurs. Compared with manual troubleshooting, AIOps significantly shortens mean time to repair (MTTR), improves network stability, and reduces operational expenditure. For converged 4G/5G core networks, intelligent fault analysis is especially valuable in ensuring service continuity across generations.

Automated deployment is another key area where AI enhances Telco Cloud efficiency. With fully cloud-native architectures, network functions are increasingly deployed as microservices on Kubernetes-based platforms. AI-assisted deployment engines can analyze resource availability, traffic patterns, and historical performance data to optimize placement decisions and deployment timing. This enables faster service rollout, elastic scaling, and seamless upgrades, while minimizing human intervention and configuration errors. For private 5G and edge deployments, automated deployment is essential to support rapid, large-scale rollout across multiple sites.

In addition, intelligent scheduling powered by AI is becoming central to Telco Cloud resource optimization. By continuously learning from network load, user behavior, and service priorities, AI-based schedulers can dynamically allocate computing, storage, and network resources. This ensures latency-sensitive services—such as VoNR, industrial control, and real-time video—receive guaranteed performance, while improving overall resource utilization. When applied to user plane functions and edge nodes, intelligent scheduling further enables low-latency processing and localized breakout for vertical industry applications.

As global 5G deployment continues to accelerate, interest in 5G-Advanced (5G-A) is rapidly growing. According to 3GPP’s official definition, 5G-Advanced—starting from Release 18—is an enhancement of 5G rather than a brand-new system. It is designed to boost performance, introduce native intelligence, improve energy efficiency, and expand network capabilities, serving as a crucial bridge toward the 6G era.   Despite its promise, 5G-A commercialization is still in its early stages:

Release 18 has only recently been finalized.

Fewer than 20% of operators worldwide have deployed 5G Standalone (SA), which is required for 5G-A.

Advanced features like network slicing, XR, and network exposure platforms remain in early testing with limited commercial adoption.

  Industry consensus indicates that 5G-A will scale gradually over 3–5 years, making it a long-term strategic roadmap rather than a short-term revenue generator. Its true value will come from measurable improvements in capacity, coverage, energy efficiency, and enterprise applications.   IPLOOK: Fully 3GPP-Compliant and Future-Ready IPLOOK is a global leader in core network solutions, fully aligned with 3GPP standards, and actively preparing for 5G-A evolution. Key highlights include:  

5G Core (5GC) Compliance: Complete support for AMF, SMF, UPF, UDM, AUSF, and PCF within a service-based architecture (SBA).

Advanced Network Capabilities: Enhanced network slicing, NEF-based network exposure, RedCap and NTN support.

Low-Latency & XR Readiness: Distributed UPF and edge deployments to support emerging use cases.

Nokia Bell Labs, fue una de las 14 organizaciones elegidas para participar en el estudio de capacidad LunA-10 de DARPA. La selección demuestra la experiencia de Nokia Bell Labs en las arquitecturas de red del futuro y su liderazgo en la industria de telecomunicaciones espaciales Continue reading Nokia es seleccionada por DARPA para diseñar la infraestructura de telecomunicaciones de la Luna

Younsun Kim y Andrew Bennett de Samsung Research son nombrados presidentes Samsung Electronics anunció que dos investigadores han sido elegidos presidentes de dos grupos de trabajo del Proyecto de Asociación de Tercera Generación (3GPP), la organización de desarrollo de estándares de telecomunicaciones más grande del mundo. Fundada en 1998, 3GPP se dedica a desarrollar el estándar global…