About the lab
Shaping beyond-5G and 6G wireless networks through intelligent surfaces, integrated sensing and communication, advanced multiple access and AI-driven design.
The Intelligent Wireless Communication (i-WiC) Laboratory was established in 2021 at the Institute of Communications Engineering, National Sun Yat-sen University (NSYSU), Kaohsiung, Taiwan. We develop the wireless technologies that will shape beyond-5G and 6G networks.
Led by Prof. Keshav Singh, our team designs intelligent, efficient and secure communication systems, with a focus on reconfigurable intelligent surfaces, integrated sensing and communication, next-generation multiple access, near-field and new antenna technologies, and AI-driven wireless networks. Our work is published in leading IEEE journals and conferences, and we collaborate with research groups and industry partners around the world.
Our mission
6G networks will need to do much more than deliver higher data rates. They are expected to sense their surroundings, connect massive numbers of devices, serve users on the ground, in the air and in space, and do all of this reliably, securely and with far less energy. Our mission is to develop the theory, algorithms and system designs that make this possible, and to train the next generation of wireless researchers and engineers.
Research directions
Our work covers the following areas, which often come together in a single system design:
Reconfigurable intelligent surfaces (RIS): making the radio environment part of the network, using STAR-RIS, active, beyond-diagonal and holographic surfaces and stacked intelligent metasurfaces, optimized jointly with base-station beamforming.
Integrated sensing and communication (ISAC): networks that communicate and sense at the same time, including dual-function radar-communication, full-duplex ISAC, and sensing in aerial and non-terrestrial networks.
Next-generation multiple access: non-orthogonal multiple access (NOMA) and rate-splitting multiple access (RSMA) for massive connectivity, fairness and interference management.
Near-field communications and new antenna technologies: extremely large-scale and holographic MIMO, pinching-antenna systems, fluid and movable antennas, and terahertz communications.
AI for wireless networks: deep reinforcement learning, federated learning and deep learning for beamforming and resource allocation, large AI models and quantum-enhanced optimization, with an emphasis on trustworthy, privacy-preserving intelligence.
Aerial, vehicular and non-terrestrial networks: UAV-assisted communications, vehicular (V2X/IoV) networks, mobile edge computing and task offloading, digital twins, and integrated satellite–aerial–terrestrial networks.
Secure, reliable and green communications: physical-layer security and covert communication, ultra-reliable low-latency communication (URLLC), full-duplex systems, and energy-efficient designs with wireless power transfer and energy harvesting.
How we work
We combine rigorous mathematical analysis (performance analysis, channel modeling and optimization theory) with machine learning and extensive simulation. This helps us understand the fundamental limits of new technologies and turn them into practical designs for beamforming, resource allocation and network management. Much of our research is carried out with international collaborators and industry partners, which keeps it connected to real-world 6G challenges.
Publications and collaboration
Our research appears in leading IEEE journals, including the IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal and IEEE Communications Surveys & Tutorials, and at flagship conferences such as IEEE ICC, IEEE GLOBECOM, IEEE WCNC and IEEE VTC.
We work with researchers at universities and companies in Asia and Europe, including Nanyang Technological University, Imperial College London, University College Dublin and Lenovo. Our research has been supported by Taiwan's National Science and Technology Council (NSTC, formerly MOST) and by Qualcomm through university research collaboration projects. In December 2025, the lab hosted IWS-6G 2025, a two-day Workshop on Intelligent Wireless Systems in the 6G Era at NSYSU, featuring seven invited expert talks.
Our team and alumni
The lab brings together an international team of master's students, PhD scholars, postdoctoral researchers and research interns. Members gain hands-on experience in research, academic writing and presenting their work at international conferences.
Our alumni continue their careers in academia and industry around the world: as faculty members at institutions such as NIT Raipur, NIT Durgapur, MNNIT Allahabad, NSUT Delhi and Yuan Ze University; as researchers at the Technology Innovation Institute (Abu Dhabi), Memorial University (Canada), Trinity College Dublin and University College Dublin; as doctoral researchers at KAUST, the University of Oulu and IMEC; and as engineers at companies such as Qualcomm, Huawei and Sirius Wireless.
Join us
We welcome motivated students, interns and collaborators with a passion for wireless communications and AI. If you are interested in joining the lab or working with us, please see our page for prospective students and collaborators, or contact Prof. Keshav Singh.