| dc.description.abstract | Massive Multiple-Input-Multiple-Output (MIMO) has been outlined as one of the main technologies for achieving the potential in future communication networks. Since its theoretical conception, research activity has grown exponentially. For this research to be commercialized, it is critical to find out how reality differs from theoretical results. This has now become possible with National Instruments' new Massive MIMO Application Framework, which aims at enabling researchers to rapidly prototype theoretical results in a practical scenario.
This thesis aims at using said application framework to understand the implications of using Massive MIMO in wireless sensor networks through a specific scenario called Decision Fusion, where the main principle is to combine data from multiple information sources to take a global decision about a physical event. In this case, the information sources are sensors measuring frequency spectrum activity, and the global decision is whether the spectrum is in use by other mobile units.
This work has produced an experiment model and real-world channel measurements that are in the process of being analyzed. The report outlines strengths and weaknesses of the model and suggests possible future work. | |
