PhD and Research Masters Positions
PhD Studentships in Intelligent Digital Linearization Techniques for Broadband Phased Array Wireless Transmitters
The next-generation mobile networks (5G and Beyond) are expected to unlock many new services and provide a platform to enable growth in many industries, ranging from smart homes, connected cars to real-time entertainment and many others. One of the key requirements for 5G is to provide ubiquitous connections with multi-Gbps data transmission to meet 1,000 times increased capacity. For every data bit, wireless transmission consumes power. Large growth in data traffic results in a substantial increase in energy consumption. To improve power efficiency and enhance spectrum utilization, beamforming phased array and multiple-input multiple-output (MIMO) techniques are employed in 5G wireless transmitters. Compared with single-antenna systems, the average power of each transmitter path is lower in MIMO systems, but the power amplifier (PA) still dominates the power consumption. Digital predistortion (DPD) has been widely deployed to guarantee linearity of the PAs operating in the high-efficiency mode. To date, most DPD techniques are developed for linearizing single-input single-output (SISO) systems. They encounter difficulties in MIMO systems, especially in those with analog or hybrid beamforming architectures where it is not feasible to deploy separate DPD for each RF chain. In this project, we aim to develop advanced digital linearization techniques for broadband phased array wireless transmitters using intelligent machine learning algorithms, that can linearize the complex MIMO systems with reduced hardware resource and minimum power consumption.
The PhD positions are fully funded with tuition fees and scholarships covered, starting in September 2021 or January 2022 for four years. The research will be conducted under the supervision of Professor Anding Zhu
in collaboration with industry partners and international academic collaborators.
Applicants should have Bachelors or Masters degree in electronic engineering or relevant disciplines with excellent background in RF and analog circuit design, communication theory and signal processing algorithms. Potential candidates should send: (1) CV; (2) Transcripts; (3) English Test Certificate (for non-native English speaker, IELTS 6.5 with at least 6.0 in each element); and (4) Contact details of two referees (email and phone number) to Professor Anding Zhu via email
before the deadline 16th June 2021