One year Full-Time Post-doctoral Position
at Telecom ParisTech
Precoding for Multi-User Massive MIMO Systems
Context and research subject
Multi-user Massive MIMO has been proposed to answer the increase of spectral efficient de- mand to met the 5G requirements. Massive MIMO employing suitable precoding techniques can yield large gains in spectral efficiency (SE) and energy efficiency (EE) as compared to conven- tional MIMO systems, as the effects of noise and interference are negligible when the number of antennas approaches infinity. But, some limitations due to the realistic urban environment induce a decrease on the obtained gains. A massive MIMO wireless system could use a single-cell (SC) or a multi-cell (MC) structure. In this work, we will be interested to multi-cell scenario with collaborative BSs. considering constraints as provided backhaul, cluster size, shared CSI, we aim to design an efficient non linear precoding based on lattice-aided methods offering very low complexity.
The proposed research work makes part of a collaborative project with Nokia, led by Prof. Ghaya Rekaya-Ben Othman. The main objective of this project consists in proposing innovative precoding techniques for MU-Massive MIMO systems leading to patents and publications.
To be eligible for the postdoctoral position, the candidate must possess a doctoral degree in electrical engineering. The applicant should have published Transaction articles and in flagship IEEE conferences. Moreover the applicants must have excellent analytical background and a drive to pursue fundamental research. Expertise in the wireless systems and solid background in Digital Communication is a major advantage. Skills with experience using C and /or Python programming may be very advantageous.
The research grant is awarded for 12 months and its monthly net salary is about 2200€.
Expected starting is : March 2019.
Applications must be send by email, with the following attachments as separate pdf files : 1. Complete CV containing contact information of at least two referees
2. Motivation letter (prior knowledge, research interests and career plans)
3. Certificates/Diplomas : Scanned copies of diplomas and transcripts of the records of relevant previous degrees
4. Representative publications (maximum 2 articles)
Prof. Ghaya Rekaya-Ben Othman, email : email@example.com
Labortoire LTCI, Telecom ParisTech, 46 rue Barrault, 75013 Paris
(c) GdR 720 ISIS - CNRS - 2011-2018.