Design and Analysis of Antenna Selection in Massive MIMO

Guillermo Jiménez Alonso ()

Abstract

The aim with this Master´s thesis is to formulate an antenna
selection algorithm for a massive MIMO system and to study and
analyze the performance obtained in terms of BER and capacity in the
downlink. Due to the significant amount of data to process, this can be
extended to compare the performance of the antenna selection subset
when having different channel estimate resolutions. So, the data could
be reduced while having not a great loss performance.
Another application would be to answer if the number of antennas in
the base station could be reduce when there is more than one layer in the
UE and how this affects the capacity; and vice versa, studying whether
increasing the number of antennas maintains performance if a high
number of layers cannot be processed.
Challenges could come from getting good simulations recreated
using the 3GPP specifications for 5G/NR and trying to test and compare
the algorithms with actual data measurements if the time is available