25-06-2018, 07:42 PM
Two PhD studentships available in the area of “Coded Sparse Signaling for Massive MIMO Communications”
Background:
Massive MIMO is a key technology for 5G-and-beyond wireless networks, which is capable of dramatically increasing both the spectral efficiency and the energy efficiency of the network. This project will design new transmitters and receivers as well as advanced signal processing algorithms for massive MIMO systems, based on the concept of sparse signaling, also known as generalized spatial modulation. The research will center on the joint design of channel coding, generalized spatial modulation, and receiver signal processing (channel estimation, compressed-sensing based signal detection, and iterative channel decoding). The new communication system designs will be validated by extensive mathematical analysis as well as by simulation. Channel coding techniques will center on state-of-the-art LDPC and polar code constructions, as these provide excellent performance advantages as well as lowcomplexity implementations. Interactions between the compressed-sensing based front-end detection process and the iterative channel decoder will be a key focus of the receiver design problem.
The PhD positions are fully funded by the Irish Research Council (IRC) with tuition fees and scholarships covered for four years starting in September 2018. The research will be conducted under the supervision of Associate Professor Mark Flanagan in conjunction with international academic collaborators.
The successful candidates should hold a Bachelors or Masters degree (First or Upper Second Class Honors) in electronic/communication engineering, computer science or a related discipline, and should possess a very strong background in mathematics, communication theory, signal processing and programming. Excellent writing and oral communication skills are also required.
Applications should be sent by email to Associate Professor Mark Flanagan (mark.flanagan@ucd.ie) and should include:
Background:
Massive MIMO is a key technology for 5G-and-beyond wireless networks, which is capable of dramatically increasing both the spectral efficiency and the energy efficiency of the network. This project will design new transmitters and receivers as well as advanced signal processing algorithms for massive MIMO systems, based on the concept of sparse signaling, also known as generalized spatial modulation. The research will center on the joint design of channel coding, generalized spatial modulation, and receiver signal processing (channel estimation, compressed-sensing based signal detection, and iterative channel decoding). The new communication system designs will be validated by extensive mathematical analysis as well as by simulation. Channel coding techniques will center on state-of-the-art LDPC and polar code constructions, as these provide excellent performance advantages as well as lowcomplexity implementations. Interactions between the compressed-sensing based front-end detection process and the iterative channel decoder will be a key focus of the receiver design problem.
The PhD positions are fully funded by the Irish Research Council (IRC) with tuition fees and scholarships covered for four years starting in September 2018. The research will be conducted under the supervision of Associate Professor Mark Flanagan in conjunction with international academic collaborators.
The successful candidates should hold a Bachelors or Masters degree (First or Upper Second Class Honors) in electronic/communication engineering, computer science or a related discipline, and should possess a very strong background in mathematics, communication theory, signal processing and programming. Excellent writing and oral communication skills are also required.
Applications should be sent by email to Associate Professor Mark Flanagan (mark.flanagan@ucd.ie) and should include:
- Curriculum Vitae;
- Copies of all Transcripts;
- An English Test Certificate (for non-native English speakers);
- Contact details of two Referees (email and phone number).
