Designing 6G from the Ground Up: AI-Native Networks, Sensing Integration, and Simulation-Led Innovation
As the wireless industry begins shaping the architecture of 6G, Sang-Kyo Shin, Product Manager for WirelessPro, Keysight’s new wireless simulation platform with AI integration, offers a compelling vision: one where AI is not an add-on, but a design foundation, and where sensing and communication converge to create intelligent, adaptive networks. His perspective emphasizes the importance of simulation-driven development, cross-disciplinary collaboration, and a shift in mindset from incremental evolution to purposeful design.
AI as a Design Principle, Not a Feature
In 5G, AI was often introduced as a tool for optimization used in network management, traffic prediction, or anomaly detection. Sang-Kyo believes 6G will take this much further, embedding AI into the core architecture of the network.
“We’re not just using AI to tune parameters. We’re designing networks where AI defines how the system behaves.”
This means AI will influence everything from waveform selection and beam management to resource allocation and interference mitigation. The goal is to create self-optimizing, context-aware networks that adapt in real time to user needs, environmental conditions, and service demands.
But this shift also requires a new level of trust and transparency in AI models. Sang-Kyo emphasized the need for explainable AI, especially in safety-critical applications like autonomous mobility and industrial automation.
Sensing and Communication: A Seamless Merge
One of the most transformative ideas in 6G is integrated sensing and communication (ISAC), which refers to the ability for networks to not only transmit data but also sense the environment. Sang-Kyo sees this as a natural evolution, especially as devices become more spatially aware and services more immersive.
“We’re designing networks that don’t just connect, they perceive.”
ISAC will enable applications such as:
- Real-time object detection for autonomous vehicles and drones.
- Indoor localization and mapping for smart factories and retail.
- Environmental awareness for energy-efficient building management.
By using existing communication waveforms for sensing, operators can leverage their infrastructure to deliver new services without deploying separate sensor networks. This opens up monetization opportunities in logistics, public safety, and industrial IoT.
Simulation-Led Development: Accelerating Innovation
Sang-Kyo is a strong advocate for simulation-first R&D, especially as 6G introduces more complex interactions between hardware, software, and AI. He believes that high-fidelity simulation environments will be essential for validating new concepts before physical prototyping.
“We need to simulate not just the radio, but the entire system including AI models, sensing feedback, user behavior, and network dynamics.”
This approach allows researchers to explore multi-domain interactions, test edge cases, and iterate rapidly. It also supports cross-disciplinary collaboration, bringing together RF engineers, data scientists, and application developers in a shared design space.
Simulation will also play a key role in standardization, helping stakeholders evaluate trade-offs and converge on viable specifications faster.
Cross-Domain Collaboration: The New Normal
Sang-Kyo emphasized that 6G will require breaking down silos between disciplines. RF design, AI modeling, sensing algorithms, and application logic must be developed in tandem.
“6G is not just a telecom problem. It’s a systems problem.”
This means universities, startups, and industry leaders must collaborate across domains to co-design solutions that are technically feasible, commercially viable, and socially responsible. Sang-Kyo sees this as an opportunity to redefine how innovation happens, with open platforms, shared datasets, and modular architectures.
What to Expect in the Near Term
Looking ahead to 2026, Sang-Kyo anticipates several key developments:
- Early prototypes of AI-native radio access network (RAN), demonstrating real-time adaptation and learning.
- ISAC trials in controlled environments, validating sensing accuracy and service integration.
- Simulation platforms that support full-stack modeling from RF to AI to application logic.
These milestones will lay the groundwork for standardization and commercial readiness in the late 2020s.
Conclusion: A Purpose-Built Future
Sang-Kyo’s vision for 6G is not about chasing theoretical extremes. It’s about designing networks with purpose. By embedding AI into the architecture, merging sensing with communication, and embracing simulation-led development, 6G can become a platform for intelligent, adaptive, and human-centric connectivity.
“We have a chance to rethink everything, not just how networks work, but what they’re for.”
Listen to the full interview here.