Research Supervisor Connect
This project explores the integration of wireless artificial intelligence to enhance the efficiency, reliability, and adaptability of 5G/6G communications and Internet of Things (IoT) networks. It focuses on developing intelligent algorithms and architectures to enable smarter, faster, and more resilient wireless connectivity for future digital ecosystems
Electrical and Computer Engineering
The project on Wireless Artificial Intelligence for 5G/6G Communications and IoT aims to design and develop AI-driven solutions that address the growing complexity and demands of next-generation wireless systems. With the rapid proliferation of IoT devices and the emergence of 5G/6G networks, traditional approaches to resource allocation, signal detection, and network optimisation face significant limitations. By leveraging advanced machine learning, deep learning, and reinforcement learning techniques, this research seeks to create intelligent wireless systems capable of self-organisation, adaptive optimisation, and real-time decision-making. The outcomes of this project will enable ultra-reliable low-latency communication (URLLC), massive machine-type communication (mMTC), and enhanced mobile broadband (eMBB), supporting transformative applications such as autonomous vehicles, smart healthcare, industrial automation, and immersive XR/VR experiences. Ultimately, the research contributes to building a foundation for scalable, secure, and sustainable wireless ecosystems that meet the challenges of future digital societies.
Research Techniques/Methodologies/Technologies
The project will employ advanced AI and machine learning methods, including deep learning, reinforcement learning, and federated learning, integrated with signal processing and wireless communication techniques. Simulation platforms (e.g., MATLAB, Python-based AI frameworks) and software-defined radios (SDRs) will be used for modelling, prototyping, and experimental validation.
Successful candidates:
The ideal candidate should have a strong background in electrical/electronic engineering, computer science, or a related discipline, with knowledge of wireless communication systems, machine learning, and signal processing. Proficiency in programming (Python, MATLAB, or C/C++) and familiarity with 5G/6G or IoT systems is desirable. Strong analytical skills, research aptitude, and the ability to work independently as well as in a team environment are essential.
How to apply:
To apply, please email [email protected] the following:
The opportunity ID for this research opportunity is 3702