/Robust Signal Processing for Cell-free Massive MIMO in 6G Wireless Communications Systems

Robust Signal Processing for Cell-free Massive MIMO in 6G Wireless Communications Systems

Research & development - Leuven | More than two weeks ago

You will be architecting the high-speed, ultra-reliable and low-latency wireless networks of tomorrow

Motivated by the new era of automation and the explosion of the IoT, the future wireless connectivity landscape of 6G and beyond will feature low-complexity high-throughput, ultra-reliable and low-latency wireless communication systems. Such stringent requirements make the radio access design very challenging and some fundamental performance / complexity tradeoffs must be made. An example of such requirements is packet error rate in motion of 10-9 or lower with latency in the order of few µs-ms. In building up such robust wireless systems, the radio access architecture is typically distributed with large number of nodes cooperating together to meet the target quality of the service. For instance, cell-free massive MIMO systems, through coherent transmission, allow channel hardening by coherently beaming towards the mobile terminals.


However, there are several problems that need to be addressed before such distributed systems become practical and reliable. One particular problem of interest for this master topic is to investigate advanced and robust signal processing subject to stringent system design constraints.  Particularly, the student will focus on advanced receiver signal processing schemes and their sensitivity to different impairments such as imperfect synchronization and channel state information and hardware non-idealities.


After a literature study, the student will use an existing PHY Layer Matlab simulator to analyze the end-to-end robustness of the physical layer processing to channel and hardware impairments, hence setting the requirement towards robust physical layer. Depending on the progress and the ambition, the student (i) will extend the model to implement additional HW non-linearities at the receiver side of the communication chain, and (ii) will investigate signal processing techniques to compensate for the performance losses due to these HW impairments.


The successful candidate will be part of a large IMEC team working on the research, implementation and prototyping of future communications systems. He candidate should be enrolled in Electrical Engineering Master or similar.


The successful candidate must show a strong understanding of signal processing. Proficiency with Matlab is a must. Some knowledge of wireless communications concepts is a plus



- Master Thesis internship (6 months)

- Preceded by optional summer internship (max 3 months)


Responsible scientist(s):

Mamoun Guenach (mamoun.guenach@imec.be), senior researcher

Type of project: Combination of internship and thesis

Duration: 6 months

Required degree: Master of Engineering Science, Master of Engineering Technology

Required background: Electrotechnics/Electrical Engineering

Supervising scientist(s): For further information or for application, please contact: Mamoun Guenach (Mamoun.Guenach@imec.be)

Imec allowance will be provided for students studying at a non-Belgian university.