Precoding Strategies For Simultaneous Information And Power Transfer In Dense Networks KU Leuven Department of Electrical Engineering Belgium

Precoding Strategies For Simultaneous Information And Power Transfer In Dense Networks

 

The research group ESAT-TELEMIC of the Department of Electrical Engineering (ESAT) focuses on Telecommunications and Microwaves. It covers research on wireless networking, active circuits, and antennas. Currently, the team is focusing strongly on wireless power transfer and Massive MIMO, and this PhD project will be carried out in this context of simultaneous wireless information and power transfer (SWIPT) using Massive MIMO. 

In this PhD project, the aim is to combine expertise from ESAT-TELEMIC on Massive MIMO and SWIPT, with expertise from ESAT-STADIUS on dynamic spectrum management and multi-user precoding to determine optimal precoding strategies for dense SWIPTnetworks with multiple users with varying power and information rate requirements. These networks can consist of a central servicepoint with many antennas, or many distributed services points that transmit information and power.

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Project

 

Massive Multiple-input multiple-output transfer (MaMIMO) has been shown to be a viable technology for improving spectrum and energy efficiency of future wireless networks, both using theoretical and measurement-based approaches. In addition, the benefits of Massive MIMO for simultaneous wireless information and power transfer (SWIPT) have been established in theory. Clearly there is a trade-off between information and power transfer efficiency: while power transfer is optimal for a sparse channel, with few degrees of freedom, information transfer benefits maximally from a rich multi-path channel with many degrees of freedom. Similarly, when considering the power allocation problem in the time of frequency domain, there is a trade-off between information and power transmission rates.  This trade-off is even more pronounced when considering realistic non-linear models for the energy receiver.  Also, when considering distribute MaMIMO or cell-free network architectures, interesting trade-offs between information and power transfer can be explored. The main goal of this PhD topic is on the channel modelling and precoder design, taking into account limited channel state information.

 

Profile

 

The applicant should have a Master Degree in Electronic Engineering and should meet the minimum eligibility criteria for a PhD at KU Leuven, namely having very good grades as well as mature mastering of English, both oral and in writing. The applicant should preferably have a background in wireless communication, performance modelling or optimisation.

Offer

 

We offer a PhD scholarship up to four years (subject to positive intermediate evaluations). If the applicant is non-EER, also up to 1 year pre-doc will be supported

 

 

Interested?

For more information please contact Prof. dr. ir. Sofie Pollin, tel.: +32 16 32 10 51, mail: sofie.pollin@kuleuven.be or Prof. dr. ir. Marc Moonen, tel.: +32 16 32 10 60, mail: marc.moonen@kuleuven.be.

You can apply for this job no later than June 29, 2019 via the online application tool

KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.


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