Title: Antenna selection techniques in massive MIMO for increasing the robustness of 5G communications to interferences.
Post-doctorate duration of 12 months: Preferably starting September 2018.
Requested skills: Signal processing – Digital communications.
Host laboratory: IEMN (TELICE team), Villeneuve d’Ascq, France.
Supervising team: Eric Simon (MCF at IEMN) – Joumana Farah (professor at the Lebanese University).
Contact: Eric Simon, eric.simon@univ-lille.fr
Keywords: 5G – Channel sounding – Massive MIMO – Antenna selection – Power allocation.
Mission: The candidate will first study antenna selection strategies in massive MIMO to combat different types of interferences. The candidate will then develop techniques for detecting the sources of interference in the network, based on channel sounding techniques that will be tested using the MIMOSA sounder. The next step will consist in combining antenna selection techniques with appropriate power allocation methods in such a way to minimize the influence of interference sources on the transmission quality.
The originality of this subject is that it encompasses both theoretical aspects, with the development of new antenna selection and power allocation algorithms, and practical aspects, with the exploitation of the MIMOSA channel sounder. In addition, the candidate will rely on the group’s strong expertise in the field of channel measurement, as well as on the latest research works realized by the supervising team on the impact of interferences on wireless communications and on power allocation [2-5].
References:
- Deniau, C. Gransart, G. L. Romero, E. P. Simon, J. Farah, “IEEE 802.11n Communications in the Presence of Frequency-Sweeping Interference Signals”, IEEE Transactions on Electromagnetic Compatibility, 2017.
- Dermoune, E. P. Simon “Analysis of the maximum likelihood channel estimator for OFDM systems in the presence of unknown interference”, EURASIP J. Adv. Signal Process., 2017
- Farah, E. Sfeir, C. Abdel Nour, C. Douillard, “New Resource Allocation Techniques for Base Station Power Reduction in Orthogonal and Non-Orthogonal Multiplexing Systems”, IEEE International Conference on Communications (ICC 2017), May 2017, Paris, France.