Research Supervisor Connect
This project investigates advanced techniques for achieving ultra-reliable and low-latency communications (URLLC) with short packet transmissions, a key requirement for mission-critical 5G/6G and IoT applications. It focuses on developing novel coding, signal processing, and resource allocation strategies to ensure robust connectivity under stringent delay and reliability constraints
Electrical and Computer Engineering
The project on Ultra-Reliability and Low-Latency Communications (URLLC) with Short Packet Transmissions aims to address one of the most critical challenges in next-generation wireless systems: ensuring reliable data delivery within extremely tight latency constraints. Unlike traditional communications that rely on long codewords and large block lengths to achieve reliability, URLLC requires the efficient transmission of short packets, which imposes fundamental trade-offs between latency, reliability, and spectral efficiency. This research will investigate advanced coding and modulation schemes, optimised signal processing algorithms, and resource allocation strategies tailored for short-packet communications. It will also explore cross-layer design approaches and AI-assisted solutions to meet the stringent performance requirements of mission-critical applications such as autonomous driving, industrial automation, remote surgery, and smart grids. The outcomes of this project will contribute to building the theoretical and practical foundations for URLLC in 5G, 6G, and beyond, enabling safe, dependable, and real-time wireless connectivity for future digital ecosystems.
Research Techniques/Methodologies/Technologies
The project will leverage tools from finite blocklength information theory, advanced channel coding, and low-complexity signal processing tailored for short-packet transmissions. It will also employ cross-layer design strategies, stochastic modelling, and optimisation methods to analyse latency–reliability trade-offs. Simulation environments (e.g., MATLAB, Python, or NS-3) and hardware testbeds such as software-defined radios (SDR) may be used for validation.
Successful candidates:
Candidates should have a solid background in wireless communications, information theory, or signal processing. Strong mathematical and analytical skills are essential, along with proficiency in programming (MATLAB, Python, or C/C++). Prior knowledge of 5G/6G systems, coding theory, or low-latency communication techniques is desirable. The candidate should demonstrate strong problem-solving ability, research motivation, and the capacity to work independently and collaboratively.
How to apply:
To apply, please email [email protected] the following:
The opportunity ID for this research opportunity is 3701