Doctoral research project

Person in charge of the project:
LAUWEREINS RUDY, member of research team Associated Section of ESAT - INSYS, Integrated Systems
Efficient Design of MIMO solutions for Software Defined Radio
Project summary:
The use of wireless broadband technology has become a key enabler for many advanced applications that define today’s society. With each new wireless standard such as 802.11ac and 3GPP-LTE advanced, the support for Multiple Input Multiple Output (MIMO) antenna schemes is increased. Wireless standard evolutions follow at a very fast rate, and often it is required that first prototypes to be available even before the standard is even finished. As a result, the design times for wireless systems are getting very short. Software Defined Radio (SDR) is a possible solution, since this would make it possible to reuse some of the hardware design effort across each generation. Given the hardware template as a constant that can only be tuned partially, the design of the software and algorithm, and selection of the different modes to be supported becomes the key problem to be addressed by system designers. This research is situated inthe domain of both signal processing and system design. One of today’s central themes in system design research is the question on how to rapidly converge to the optimal design, in terms of power-area efficiency, with an acceptable quality of service. Future wireless systems will be based on SDR technology i.e. highly flexible parallel programmable architectures. As a result, the design cost of the hardware can be reused with each generation. The drawback is that the software design to support various wireless standards becomes very challenging, and the optimal design question is which algorithm will eventually achieve the required qualityof service with minimal resources. In this thesis, the goal is to derive a design framework for MIMO systems to facilitate efficient and effective design of MIMO solutions for SDR. First, for each part of the MIMO system, algorithms are tuned for SDR-compatibility. A first important phase of the PhD work will be specifying the design and run-time scalable algorithms for the full MIMO system. Next, it will be shown how this class of MIMO algorithms should be used, together with an SDR template, to achieve an efficient design of MIMO-SDR solutions for a range of future wireless systems. The result will be an SDR design flow to meet performance-complexity tradeoffs of future wireless systems with a minimal hardware and software design cost.
ph.D student :
Faculty of Engineering Science
Doctoral Programme in Engineering (Leuven)