Enormous effort has so far been invested on increasing the spectrum efficiency (SE) of wireless systems, i.e. to achieve higher data rates over a given bandwidth. Given the importance of energy consumption, however, a key question now is: what is the impact of SE boosting techniques such as base station collaboration on a wireless network’s energy efficiency (EE)? This project is therefore to investigate such a critical issue so that the EE of collaboration (including relay) based wireless networks can be optimised and energy efficient engineering solutions can be obtained to achieve the ultimate target of green radio.
School of Systems Engineering, University of Reading:
The University of Reading is one of the UK’s 20 most research-intensive universities and among the top 200 universities in the world. Achievements include the Queen’s Award for Export Achievement (1989) and the Queen’s Anniversary Prize for Higher Education (1998, 2006 and 2009). This project will take place in the School of Systems Engineering (SSE), which has a strong reputation for its innovative research in computer science, cybernetics, and electronic engineering.
How to apply:
(1) Submit an application for a PhD in Electronic Engineering using the link below.
(2) After submitting your application you will receive an email to confirm receipt; email should be forwarded along with a covering letter and full CV to Dr Fu-Chun Zheng ([email protected]
(3) In the online application system, there is a section for “Research proposal” and a box that says “If you have already been in contact with a potential supervisor, please tell us who” – in this box, please enter “Fu-Chun Zheng”.
We welcome applications from self-funded students worldwide for this project.
Students from Brazil: we welcome and support applications for the Science Without Borders Scholarship (Ciência sem Fronteiras).
Applicants should have a bachelors (at least 2.1 or equivalent) or masters degree in Electronics/Communications Engineering or a strongly related discipline. Strong mathematical and programming skills are preferable. Experience in signal processing and wireless communications are desirable