Simulations of the Capacity and Coverage for a Multi-User Distributed MIMO Network

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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.

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