Demos

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one6G Summit 2026

King's College London

London 6G Week

6G native AI

one6G SUMMIT 2026

The Exhibitors

The call for demos will remain open until July 31, 2026!

Visit the call for demos page to learn more!

The one6G Summit 2026 provides a premier platform for innovators to showcase groundbreaking prototypes to a global audience. The demo session elevates visibility and fosters live discussions with top industry and academic experts. Don’t miss the chance to connect with exhibitors and explore these innovations during dedicated breaks!

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Agentic Networks for Autonomous Exploration with Connected Intelligence

CNIT’s booth showcases the “Agentic Network” concept for multi-robot disaster exploration, ahead of a planned 2027 real-world validation with robot fleets in Bologna, Italy.

Natural disasters often leave emergency teams with limited information about affected areas. Autonomous exploration with connected robot fleets can provide timely situational awareness, but requires intelligent coordination across robotics, communication networks, and semantic services. Existing approaches often lack the flexibility and scalability needed for such multi-domain challenges. At our booth, we demonstrate a toy example of the Agentic Network concept, showing how agent-based intelligence can improve multi-robot exploration efficiency while highlighting the challenges of extending autonomous coordination toward networking and semantic services. CNIT aims to validate this agentic approach through a demonstration with real robots equipped with communication technologies, planned for 2027 in Bologna, Italy, where a realistic post-disaster scenario will be replicated.

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Antenna Tilt Failure Estimation

ISAC uses 3D point clouds to autonomously detect antenna tilt failures with 0.4 RMSE accuracy. This hardware-free internal network maintenance framework drastically reduces CAPEX and OPEX.

Integrated Sensing and Communications (ISAC) is widely recognized as a pillar of next-generation networks, typically framed around external environmental use cases such as traffic monitoring or drone detection. This demo introduces a paradigm shift by positioning ISAC as an internal ”sensor-free sensor” dedicated to self-healing network infrastructure. Utilizing an experimental 10 GHz cmWave ISAC testbed featuring a virtual MIMO architecture, we demonstrate how physical antenna tilt failures (ATFs) can be autonomously detected and estimated. By processing 3D point cloud data through novel estimation frameworks, we achieve an accuracy of 0.4 RMSE. This operator- vendor collaborative approach opens new horizons for drastically re- ducing CAPEX and OPEX through predictive, hardware-free network maintenance.

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CHIRP: Distributed ISAC with Unsynchronized FMCW Sensors

CHIRP is an unsynchronized 3-node 77-81 GHz ISAC system. It exploits mutual interference to recover bistatic channels, enabling scalable 6G tracking and imaging without complex synchronization.

Distributed ISAC systems require spatially separated sensing nodes to cooperate, but tight synchronization between devices can increase complexity, cost, and deployment constraints. CHIRP demonstrates a distributed architecture based on three independent 77–81 GHz FMCW nodes operating without synchronization. Their mutual interference is exploited to recover not only monostatic channels, but also bistatic channels between node pairs. At the booth, visitors will observe the individual channels, the extraction of bistatic information from interference, and its use for environment reconstruction and people tracking. The demo showcases how unsynchronized multi-node systems can enable richer spatial diversity and scalable multi-static perception for future 6G sensing applications.

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Distributed Edge & Split Learning for Spatiotemporal Forecasting in 6G

DSIPTS-P is a K8s-native platform for 6G edge-cloud spatiotemporal forecasting. It supports split and federated learning, offering automated, resilient, and energy-efficient distributed AI.

We present DSIPTS-P, a Kubernetes-native platform for distributed spatiotemporal forecasting across edge–cloud infrastructures for AI-native 6G. DSIPTS-P supports split learning and federated execution while automating deployment, training, monitoring, and recovery. Built on the DSIPTS stack, it provides GPU- and edge-aware scheduling, YAML- or GUI-based configuration, and integrated telemetry through Prometheus, Grafana, Kepler, and AIM. In the live demo, attendees configure forecasting models, split-learning partition points, and edge/cloud placement, then inject failures and network impairments. Real-time dashboards reveal the impact on forecasting accuracy, convergence, communication overhead, latency, and energy efficiency, demonstrating resilient and resource-efficient distributed AI for future 6G edge–cloud systems.

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ISAC Live 3D Multi-Modal Joint Perception

This demo showcases real-time 3D joint perception by fusing ISAC, LiDAR, and camera data into a live 3D scene, continuously tracking humans and robots with high localization resolution.

This demo showcases real-time 3D joint perception enabled by ISAC and multi-modal sensor fusion. ISAC-generated point clouds from massive MIMO sensing with 3GPP-compatible waveform are fused with LiDAR and camera data to create a live 3D scene representation. The system continuously tracks moving objects, including humans and robots, while supporting resolution refinement for improved object localization, environment awareness, and dynamic scene understanding.

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ISAC Real-Time Experimentation Platform

This real-time mmWave ISAC system uses a cross-layer HW/SW design to achieve continuous sensing over 5G communication, extracting CSI for live micro-Doppler target visualization.

ISAC is a key enabler for future wireless systems, yet realizing it in practice requires tightly coupled communication and sensing pipelines under strict real-time constraints. In this demonstration, we present a real-time Millimeter-Wave ISAC system which addresses these challenges through a cross-layer hardware/software design. Our approach preserves a standard 5G-like communication pipeline and enables sensing by appending bursts of reference signals for beam-sweeping-based channel probing. The system partitions the processing across the FPGA logic, an embedded ARM processor, and an external host, enabling continuous sensing without disrupting the communication link. We demonstrate an end-to-end system where Channel State Information is extracted on-device and streamed for real-time processing and visualization of micro-Doppler signatures from moving targets.

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MOVE: AI-Driven Smart Switching for Hybrid TN/NTN Connectivity

OrbitsIQ Global’s MOVE is an AI platform managing hybrid terrestrial/satellite networks. The demo showcases smart hardware and dashboards to ensure resilient connectivity for future 6G mobility.

As connected and autonomous systems increasingly depend on uninterrupted communications, intelligent management of hybrid terrestrial and non-terrestrial (TN/NTN) networks is becoming essential for resilient connectivity and future 6G applications. OrbitsIQ Global will showcase MOVE, its AI-driven smart-switching platform for hybrid connectivity. The demonstration features both the hardware and software components of the solution, including the physical deployment platform and pre-recorded dashboard visualisations highlighting intelligent network selection, real-time connectivity management, and AI-assisted switching across terrestrial and satellite networks. MOVE is designed to minimise connectivity disruptions while optimising network performance for connected mobility and other mission-critical applications.

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Real-time Generative Multicasting with On-Device Intent-aware Semantic Decomposition

Generative semantic multicasting splits video into shared semantic maps and user-specific classes. Running in real-time on a Coral TPU, it reduces transmitted payload bits by 48%.

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Robot Services Enabled by Agentic AI

This demo showcases a dynamic network architecture where smart agents manage communication, computing, and AI resources, proven via real-time human-humanoid robot interaction.

The network is dynamically configured to run and support communication, computing and AI resources based on smart agents. A human interaction with a humanoid robot will demonstrate the new architectural concept.

one6G Summit 2026

King's College London

London 6G Week

6G native AI