10:30-10:55                                                                                                                                                                                                                                                          Booth No:1

240-GHz mmWave Wireless Transceiver Key Circuits Development for Next-Generation Communication

Tsung-Hsien Lin, Professor, National Taiwan University

This project aims to develop key circuits for a 240-GHz mmWave transceiver (TRX) using CMOS technology. Our team has completed the design and fabrication of core modules for the Sub-THz TRX, including: (1) a 240-GHz receiver with LNA, (2) a 240-GHz transmitter with PA, (3) an 80-GHz PLL, (4) a frequency tripler with phase shifter, and (5) a 5-Gbps ADC. We have also developed several digital baseband signal processing algorithms and techniques.

Due to the challenges of high-frequency operation, chip testing was conducted in a lab environment, making on-site demonstrations impractical. Instead, we will showcase chip performance through recorded videos. These demonstrations will include: transmission from the 240-GHz TX, with the down-converted signal shown on a spectrum analyzer; reception by the 240-GHz RX, verified via analog baseband waveforms on an oscilloscope; and performance of the 80-GHz PLL, displayed through measurement recordings. Additionally, simulation-based methods will be used to validate the digital baseband algorithms.

10:55-11:20                                                                                                                                                                                                                                                          Booth No:2

TDM-MIMO-Beamforming Sub-THz/THz System for Real-time 4D Sensing

Tzyy-Sheng Horng, Professor, National Sun Yat-sen University

This project aims to demonstrate scalable MIMO sensing systems operating in potential 6G bands, including FR1–FR3 and sub-THz frequencies. It leverages two key innovative technologies. The first is the heterogeneous integration of advanced semiconductor components to implement an RF front end that operates up to sub-THz frequencies. This integration includes elements such as an antenna-in-package (AiP) on a glass substrate, broadband CMOS switches, amplifiers, mixers, miniature GaAs IPD filters, and a high-power GaN MMIC oscillator—together forming an 8T8R unit cell that enables massive MIMO scalability. The second technology involves the use of self-injection locking (SIL) to enhance sensing sensitivity, allowing the system to detect subtle movements, such as human vital signs, making it highly suitable for health monitoring applications. By combining these technologies, the project aims to build a high-resolution 4D sensing system capable of delivering range, azimuth, elevation, and velocity information of targets. Notably, the proposed MIMO sensing system holds significant potential for integration with MIMO communication systems in future 6G integrated sensing and communication (ISAC) applications.

11:20-11:45                                                                                                                                                                                                                                                         Booth No:3

Development of Next-Generation Reconfigurable Electromagnetic Intelligence Surface Technology

Sheng-Fuh Chang, Professor, National Chung Cheng University

The CCU team applied millimeter-wave Reconfigurable Intelligent Surface (RIS) technology to multi-user communication scenarios, enabling the transmission of two distinct data streams using 256-QAM modulation. The team will showcase a video demonstrating the deployment strategy of millimeter-wave RIS in outdoor environments and the subcarrier allocation mechanism.

Experimental results show that in an OFDM system with a total bandwidth of 400 MHz, the subcarrier indices are evenly divided: the left 200 MHz is allocated to UE 1 (256-QAM), and the right 200 MHz to UE 2 (256-QAM). By combining RIS-based beamforming with channel estimation techniques, the system effectively enhances multi-user communication performance.

Under this configuration, both UE 1 and UE 2 achieve a theoretical throughput of 400 Mbps, clearly validating the strong potential of RIS in multi-user spectrum division and performance optimization.

11:45-12:10                                                                                                                                                                                                                                                        Booth No:4

B5G/6G 3D Mobile Network Organization and Transmission Technologies with Comprehensive Intelligence

Ta-Sung Lee, Professor, National Yang Ming Chiao Tung University

14:40-15:05                                                                                                                                                                                                                                                       Booth No:5

Development of Open-source B5G/6G Core Networks

Jyh-Cheng Chen, Professor, National Yang Ming Chiao Tung University

5G Real-time AI Badminton Coaching System

Our demo showcases a 5G-enabled, real-time AI badminton coaching system. To enable AI-driven shuttlecock trajectory analysis, multiple cameras are deployed around the badminton court, streaming video in real time over a private 5G network. Accurate 3D reconstruction requires precise time synchronization across all camera feeds. Rather than relying on external Time-Sensitive Networking (TSN) switches, our system leverages free5GC's built-in Time-Sensitive Communication and Time Synchronization Function (TSCTSF). This allows free5GC to serve as the master clock, delivering nanosecond-level synchronization to all slave cameras, ensuring high-precision temporal alignment for robust tactical analysis of the games.

In additional, we demo three key contributions to 5G network architecture: integration of a standard-compliant edge platform, development of a trusted non-3GPP access network, and a novel 5G anomaly detection module. Using an XR application on a Quest headset, we demonstrate real-time detection results delivered via the edge server over a trusted non-3GPP connection. A simulated control-plane DoS attack is launched to disrupt the application, triggering the anomaly detection module, which promptly identifies the issue and enables recovery--showcasing the reliability and effectiveness of the developed 5G network architecture.

15:05-15:30                                                                                                                                                                                                                                                        Booth No:6

B5G/6G Communication Software Technology

Ray-Guang Cheng, Professor, National Taiwan University of Science and Technology

This demo presents a comprehensive end-to-end integration of an O-RAN architecture, incorporating the Free5GC core network, the OpenAirInterface (OAI) gNB, a Ufispace Fronthaul Gateway, a Metanoia JURA RU, and a Samsung UE equipped with Nemo Handy for measurement and analysis. The primary objective of this setup is to validate the interoperability and functional completeness of disaggregated RAN components in a real-world deployment scenario.

During the demonstration, the entire data transmission path, from the core network through the radio interface to the end-user device, was successfully initialized and validated. We used the iperf3 tool to conduct both downlink and uplink throughput tests. The results showed stable system performance with consistent throughput, confirming that the integrated O-RAN components can deliver reliable and efficient 5G communication.

15:30-15:55                                                                                                                                                                                                                                                         Booth No:7

University Participation in 3GPP Standard Meetings

Shin-Lin Shieh, Professor, National Tsing Hua University

Our team contributes to 3GPP standardization in three emerging areas for 6G: Non-Terrestrial Networks (NTN), Integrated Sensing and Communication (ISAC), and AI/ML-based air interface enhancement.

In the NTN domain, we design uncoordinated access schemes tailored for satellite IoT, aiming to improve system robustness under varying user demands. This work is conducted through national initiatives and international collaboration.

For ISAC, we develop a flexible, software-defined platform that merges sensing and communication capabilities. Key efforts include UAV detection via waveform innovation, data fusion, and interference management.

In AI/ML, our focus lies in learning-based signal processing, covering feature design, fusion strategies, and model adaptation to boost RAN performance. This aligns with the evolution toward AI-integrated networks in 3GPP.

Overall, our research bridges algorithm development and system-level implementation, contributing to practical innovations and future standards for 6G.

15:55-16:20                                                                                                                                                                                                                                                        Booth No:8

Next-generation Communication User-Terminal and Access-Point Key Technology Development Based on Higher C-Band MIMO Antenna System

Kin-Lu Wong, Professor, National Sun Yat-sen University

10:55-11:20                                                                                                                                                                                                                                                          Booth No:9

Open Integrated Optical and Wireless Prototype System

Jenq-Shiou Leu, Professor, National Taiwan University of Science and Technology

Our team integrates technologies including O-RAN, AI-based object tracking, and Digital Twin (DT), in combination with Reconfigurable Intelligent Surfaces (RIS) and Unmanned Aerial Vehicles (UAVs), to enable intelligent indoor agricultural inspection applications. In this use case, we have developed a real-time object tracking system based on Meta SAM2 to accurately localize UAVs within the farm. Additionally, we utilize our lab's proprietary model training and deployment platform—Mobilizing Information Technology Laboratory (MITLab)—to perform UAV path prediction. When the system detects that a UAV is about to enter a signal dead zone, it aggregates the UAV’s location and user equipment (UE) data into the SMO and transmits it in real time to the digital twin platform built on NVIDIA Omniverse. This enables computation and signal optimization simulations to determine the optimal signal reflection direction, providing RIS with precise guidance for signal enhancement.

11:20-11:45                                                                                                                                                                                                                                                    Booth No:10

A 6G network supporting 3D intelligent communications

Jyh-Cheng Chen, Professor, National Yang Ming Chiao Tung University

In Open RAN part, a 6G emulation testbed is built for the verification of AI-assisted RAN Intelligent Controller (RIC) functions. The testbed features a real indoor B5G network with active Reconfigurable Intelligent Surfaces (RIS) to assist in networking in challenging indoor environments. The RIS is designed for 5G FR1 band and can support ±60° beam coverage. Empowered by reinforcement learning, advanced AI applications are demonstrated for various RIS-assisted RIC functions, including indoor position and QoS-aware network energy saving in the EE building of NYCU. Together with a simulated Non-Terrestrial Network (NTN), NTN RIC functions are designed to demonstrate multi-LEO handover and multi-beam switching.

In Open Core part, we present approaches to enhance the security of 5G/6G core networks by focusing on two key areas: reliability and user privacy. To improve reliability, we introduce a systematic core-network protocol fuzzer that enables developers to identify flaws, generate test cases, and validate potential fixes. For user privacy, we propose and integrate a user authorization service within the cellular network infrastructure, which regulates whether an edge application can access user data from O-RAN. Our demonstration is built on the free5GC core network, showcasing the process of detecting implementation flaws via a simulator. Additionally, an emulated edge application attempts to access user data from an O-RAN platform, but this is only allowed when the application is authorized.

11:45-12:10                                                                                                                                                                                                                                                     Booth No:11

6G Upper-midband Higher-order MIMO Mobile Communication System

Kin-Lu Wong, Professor, National Sun Yat-sen University

14:40-15:05                                                                                                                                                                                                                                                          Booth No:12

Development of Reconfigurable Intelligent Surface Prototype Platform for Shaping Radio Environment

Sheng-Fuh Chang, Professor, National Chung Cheng University

In this year’s 6G communication demonstration experiment, the team from National Chung Cheng University (CCU) focused on the application of Reconfigurable Intelligent Surfaces (RIS) in dynamic dual-user communication scenarios. The system integrates blind beamforming and tracking algorithms to enhance signal stability.

The experiment was conducted in an indoor environment using a RIS operating at the 4.7 GHz band, consisting of 400 reflective elements. Two user equipment (UE) receivers were deployed. By leveraging the beamforming algorithm developed by the CCU team, along with a dynamic power feedback and phase adjustment mechanism, the system maintained stable and high-speed communication even under non-line-of-sight (NLoS) conditions or user mobility.

The transmitted signal employed 256-QAM modulation with a bandwidth of 100 MHz. Even when both users moved at a speed of 1 m/s, the RIS system could dynamically reconfigure the phase settings in real time, continuously delivering a communication throughput of nearly 500 Mbps. The results effectively demonstrate the feasibility and practicality of the proposed algorithm in multi-user, high-frequency scenarios.

15:05-15:30                                                                                                                                                                                                                                                          Booth No:13

6G Core Platform Technologies Enabling Ultra-High-Speed Global Connectivity

Hsi-Tseng Chou, Professor, National Taiwan University