Interference Management with Constraints on the Channel State Information Quality
Description
In wireless networks energy-efficiency and high throughput play hand-in-hand: an energy-efficient link reduces interference to other links allowing communications at higher rates and vice versa. Thus, interference management (IM) techniques play a recognized key role both in the “1000x data challenge” and in the challenge for sustainable low-carbon-emission networks. Recently, innovative and powerful IM techniques have been proposed (e.g. interference alignment). They show a fundamental trade-off between performance and quality of the channel state information (CSI): A global and perfect CSI allows to achieve optimal performance at the expense of high complexity and feedback overhead while no CSI implies dramatic performance loss.
The successful applicant will work in an international project aiming at studying the intermediate scenarios between the above mentioned extremes and exploring the trade-off performance – CSI quality. The post-doctoral work will be focused on the design of algorithms that optimally balance performance and CSI complexity acquisition and overhead. Key aspects to be investigated are the best kind of information to feed back (e.g. CSI, received signal, etc.), the impact of local delayed feedback, and reduced-precision feedback. Current works focus on asymptotic performance at high SNR regime. The post-doctoral research will explore also the performance at finite (mid and low) SNR regimes.
This position offers a unique possibility to work on the fundamental aspects of one of the hottest topics in communications and information theory at the moment. The successful candidate will be strongly encouraged to publish in the most prestigious journals in the field and will have ample opportunities for international research collaborations.
Requirements
Candidates should have a PhD (or be near completion) in communication engineering or related fields (e.g. mathematics or physics), a strong research and publication record, and a high level of independence and autonomy in developing original research. The successful applicant has a strong background in multiuser communications from a communication theoretical and/or a signal processing perspective. Additionally, knowledge in optimization, linear algebra, and random matrix theory will be considered an advantage.
Application
Screening of applications will begin immediately, and the search will continue until the position is filled. Applicants should send, to the address below (i) a one page statement of research interests and motivation, (ii) your CV and (iii) contact details for three referees (preferably one from your PhD or most recent research supervisor).
Applications should be submitted by e-mail to secretariat [at] eurecom [dot] fr with the reference: CM_LC_april2013
