- Thursday 21 January; 15:30: ELEC Seminar by Gaia Cavallo
In the context of the 5G telecommunication, there is a clear evolution towards advanced, complex modulation schemes to keep up with the increasing demand for communication bandwidth. This results in an increased stress on the analog components in the receiver/transmitter chain. Characterizing these components under realistic, application driven conditions is hence more important than ever.
The figures-of-merit that are used to characterize the systems did not change a lot in the last years, however. They still mainly use sinusoidal signals to perform the tests, even if these signals become less and less representative for the operation of the components in a transceiver chain.
This thesis proposes to upgrade the most common figures of merit (total harmonic distortion, intermodulation distortion, signal-to-noise-and distortion ratio, Noise power ratio…) to the era of 5G signals. Combining representative modulated signals, linearized models, and fundamental band measurements, you will extend these figures of merit and show how they relate to their classical counterparts.
Another major challenge in the characterization of 5G components and systems is the reduction of the measurement time required to extract all this information. State-of-the-art uses a specific test bench for each figure of merit, resulting in lengthy tests. You will reduce this test time by an order of magnitude by a clever experiment design that empowers the extraction of all FOM’s from a single set of experiments.
Theory: 20%, Simulation: 30%, Measurements: 50%