Embedded Files
Research Areas
Research Topic
AI-native B5G/6G/NTN/WiFi Networks
Communication Protocols and Performance Analysis
Open Radio Access Network (O-RAN)
IoT Technologies and Applications
The research direction of this laboratory focuses on B5G/6G/NTN, AI, IoT, and other wireless/mobile network technologies. We enable students to gain practical experience by participating in open-source base station projects like OpenAirInterface (OAI) and the O-RAN Software Community (OSC). Through industry-academia collaboration projects, students learn cross-disciplinary and cross-national cooperation methods. The process of system design, development, and testing enhances their software design, analysis, and optimization capabilities, cultivating the wireless communication software talent needed by the industry.
Outstanding undergraduate project students (who choose project topics of Level 1 or above) can apply for direct admission to the master's program in their senior year. With a professor's recommendation, they can undertake a 3-5 month paid overseas internship (1200 EUR/Month) at EURECOM in France (located near Nice in the Sophia Antipolis technology park) during the second semester of their senior year, experiencing work and life abroad.
Master's students with a TOEIC score of 750 or above can apply for a scholarship to participate in the department's dual-degree master's program (2.5 years) with the Czech Technical University in Prague (ranked first in electrical engineering/engineering in the Czech Republic) to obtain an EU-recognized degree. Alternatively, after completing their coursework and master's thesis, they can be recommended by a professor for an overseas internship at other open-source base station laboratories, such as EURECOM in France, the FCC Lab at SUTD in Singapore, the ComNets Lab at TU Dresden in Germany, and the WiNES Lab at Northeastern University (NEU) in the USA.
By participating in world-renowned open-source projects, our team provides students with opportunities to implement 5G protocols such as MAC/RLC/PDCP/RRC/SDAP and develop intelligent control and Radio Resource Management (RRM) algorithms on the Service Management and Orchestration (SMO) and RAN Intelligent Controller (RIC) platforms. This allows students to learn and understand 5G and O-RAN specifications directly through open-source software. Through participation in the internship program provided by EURECOM and meetings with open-source software experts from various countries, they directly learn the communication and coordination skills essential for collaborating with international teams.
Our Partners (B5G/6G Open Source Lab)
Prof. Navid Nikaein, EURECOM, France
Prof. Binbin Chen, FCC Lab, SUTD, Singapore
Prof. Frank Fitzek, ComNets Lab, TU Dresden, Germany
Prof. Tommaso Melodia, WiNES Lab, Northeastern University (NEU), USA
Master's Thesis Topics
Master's Thesis Topics
5G/6G Intelligent Open Radio Access Network
(NSTC Project: Aug. 2022 - May 2026)
This topic is based on the end-to-end multi-vendor interoperability testing platform established by the OSC Asia Pacific Lab using existing OAI/OSC/srsRAN open-source software. The research focuses on strengthening the software protocol modules of open-source base station functions, or developing intelligent algorithms for base station energy saving and wireless resource optimization, as well as security attack detection and defense mechanisms, implemented as rAPPs/xAPPs.
This research requires a fundamental knowledge of communication systems, proficiency in C/C++/Python programming, and the ability to read 3GPP and O-RAN specifications in English. Interested students can refer to the following projects: the Near-Realtime RAN Intelligent Controller (related to AI intelligent control), O-DU High (related to media access control layer protocols), and O-DU Low (related to the physical layer and Open Fronthaul Interface, OFHI).
Hybrid Wireless Access Network Digital Twin Platform
(NSTC Project: Aug. 2025 - July 2028)
This research is based on the SMO and RIC modules of the OSC open-source software. The objective is to build an O-RAN compliant SMO/RIC common platform, develop O1/E2 Agents, and construct a single, scalable Cellular/WiFi/NTN digital twin test platform. This platform aims to solve problems related to the automation of B5G/6G base station integration testing, WiFi data collection, and user characteristic modeling. The physical network will use OAI/OSC open-source base stations and campus WiFi APs, while the virtual network will use the VIAVI TeraVM RIC Test base station simulator and ns-3. Related research topics include using large datasets (e.g., transmission signals, network throughput, protocol signaling records from B5G/6G/WiFi base stations) with algorithms or AI tools to develop tools that simplify multi-vendor interoperability testing, and to perform channel/user behavior modeling and prediction. Software will also be developed to control and synchronize the physical and virtual networks, further introducing AI-RAN technology for advanced wireless research and innovative applications.
This research requires basic AI knowledge and tools, proficiency in C/C++/Python programming, and the ability to read 3GPP and O-RAN specifications in English.
Undergraduate Project Topics
Undergraduate Project Topics
Level 0
Study of Wireshark Network Packet Analyzer
Objective: Read the Wireshark user manual, install Wireshark, and use it to capture network packets.
Study of ns-3 Network Simulator
Objective: Read the ns-3 introduction, install ns-3, and use it to perform WiFi network simulations.
NVIDIA Sionna
Objective: Read technical documents, install, and test.
Objective: Identify 3GPP and NTN-related specifications, introduce the content of each specification, and compile a research report.
Level 1
Study of OAI Open Source Base Station
Read the OAI introduction.
Install OAI.
Activate the OAI base station.
Use Wireshark to capture packets and observe the packets transmitted between the User Equipment (UE) and the base station (gNB).
WiFi Big Data Analysis
Use open-source network management software and APIs to collect data.
Analyze/predict user traffic and behavior.
Use Sionna for wireless channel modeling.
Wireshark + LLM
NVIDIA Aerial RAN CoLab Over-the-Air
Objective: Read technical documents, install, and test.
Level 2: Open Source Base Station Application Research
Study of MAC/RLC (L2) protocol open-source code.
Study of RRC/PDCP (L3) protocol open-source code.
Study of Physical Layer (L1) algorithms.
Study of OAI NTN (satellite communication) open-source code.
Development of Base Station Energy-Saving Algorithms
Research on Security Attacks, Detection, and Defense for the Random Access Channel
Sponsored Projects
Sponsored Projects
Page updated
Google Sites
Report abuse