Movable-Antenna-Enhanced Cell-Free Massive MIMO Systems: Modelling and Performance Analysis
First seen by Alion on Oct 11, 2026.
Movable-Antenna-Enhanced
Cell-Free Massive MIMO Systems: Modelling and Performance Analysis You will be architecting the High-Speed,
Ultra-Reliable and Low-Latency wireless networks of tomorrow! Movable antennas are antennas that can be
physically moved in a three-dimensional space. This movement can be
one-dimensional sliding (e.g., along a sliding rack), movement inside a small
enclosure (e.g., fluid antennas), movement across multiple closely spaced
switchable positions, or repositioning within a compact aperture. Importantly,
during these movements, only the antenna position changes, while the antenna
hardware remains the same. With movable antennas, an additional degree
of freedom is introduced, similar to time, frequency, polarization, and other
spatial dimensions. As a result, antennas with mobility capability can provide
several benefits:
fading mitigation and enhanced
spatial multiplexing without additional RF resources such as antennas,
where the collective net effect is a higher beamforming gain as well as
increased interference suppression;
hardware-efficient MIMO where less
RF resources are needed to achieve reliable communication;
adaptability to dynamic
environments. These benefits of movable antennas are
especially attractive for dense networks such as cell-free massive MIMO and
distributed wireless networks in FR2-3 bands. In addition to cell-free systems,
movable antennas are also promising for massive MIMO with reduced RF chains,
mmWave/THz systems, and space-constrained devices such as IoT and wearable
devices. Despite their benefits, movable antennas
are still at an early stage of research and face some key limitations. For
instance, antenna movement requires time, making them unsuitable for
fast-fading applications. Hence, they are best suited for quasi-static or
slow-fading channels and block-fading scenarios.   In this internship, the student will study
movable-antenna-enhanced distributed massive MIMO wireless networks.
Specifically, the focus will be on one-, two-, or three-dimensional movable
antennas, and a comprehensive system model will first be developed for
distributed MIMO networks. This system modeling will include a mathematical
framework for movable-antenna-based cell-free wireless systems as well as
channel modeling. Based on the developed models, resource allocation problems
in cell-free wireless systems will be investigated including the antenna
positions using the available local or glabal
channel state information. The student will conduct a
comparative study to evaluate the complexity, performance, and feasibility of
movable-antenna-based cell-free systems versus conventional fixed-antenna
cell-free systems.   The successful candidate must demonstrate a
strong understanding of optimization, signal processing, and mathematics in
wireless communications. The candidate will be part of a large IMEC team
working on the research, implementation, and prototyping of future
communication systems. Candidates should be enrolled in
a Master's program in Electrical Engineering or a related field with
a background in signal processing.   Daily supervisor(s) : Muteen Munawar ( [email protected] )   Type of internship : Master internship Duration : 06 months Required educational background : Electrotechnics/Electrical Engineering Supervising scientist(s) : For further information or for application, please contact Muteen Munawar ( [email protected] ) The reference code for this position is 2026-INT-086 . Mention this reference code in your application. Applications should include the following information: resume motivation current study Incomplete applications will not be considered