Simulations of the Capacity and Coverage for a Multi-User Distributed MIMO Network
Publicerad
Författare
Typ
Examensarbete för masterexamen
Program
Modellbyggare
Tidskriftstitel
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Volymtitel
Utgivare
Sammanfattning
An ever growing increase of connected devices and data rates around the world needs
to be met by new communication technologies. Using an antenna array with multiple
antennas, a so-called MIMO system, has proven to be a successful way to boost the
capacity of wireless communication systems. By spatially separating the antennas
to cover a larger area, while still being carefully synchronised to a central unit, many
unwanted effects in a MIMO system such as shadowing and spatial correlation can
be mitigated. This is the idea of a distributed MIMO (D-MIMO) system. The
potential of D-MIMO has been observed in other studies and testbed applications.
Proving that a D-MIMO system can be reliably and accurately simulated would
enable a cheap and time-effective way to further investigate the capabilities and
development of new D-MIMO systems.
This project investigated the similarities and differences between a real D-MIMO
system and a simulated D-MIMO system by comparing simulated data to measured
data obtained from a testbed. After showing that simulations can be a reliable
way to study D-MIMO, further investigations were carried out. The thesis shows
an overall higher capacity for a D-MIMO system compared to a regular co-located
MIMO (C-MIMO) system. For an indoor office environment it is shown that similar
capacity can be reached when using 12 transmitter antennas for C-MIMO as with
7 transmitter antennas for D-MIMO. Further simulations were made comparing
higher mmWave signal frequencies, which still showed D-MIMO being advantageous
compared to C-MIMO. However, the higher frequency simulations also showed a less
stable system for both C-MIMO and D-MIMO. Lastly, outdoor simulations were
made that can be recreated and confirmed with a testbed in a future project. The
outdoor simulations also show a higher capacity for the D-MIMO system compared
to the C-MIMO system.
Overall, the results show that a D-MIMO system can be created in a simulated
environment which is important for further investigating the capabilities of future DMIMO
system deployments. It is also shown that the D-MIMO system is superior to
an ordinary C-MIMO system with regards to received power, coverage and capacity.