Louveaux, JérômeDesset, Claudede Halleux, NicolasNicolasde Halleux2025-05-142025-05-142025-05-142023https://hdl.handle.net/2078.2/33646To provide an increasing volume of data rapidly via telecommunication devices, throughputs must be increased. With the new coming 5G and 6G, mm-Wave frequency designs are studied to be used because of their wider available frequency bands. In the context of sustainability, research on how to provide these throughputs with the least power consumed is needed. This thesis aims to optimize the digital baseband computation of mm-Wave communication systems for several scenarios in SISO and MU-MIMO. To estimate the power consumed, the number of digital operations is counted and is related to the quantization level. The optimal levels for each block of the digital part of the communication are analyzed. With this model, we show that for the optimal configuration around 20% of savings can be made compared to a full 10-bits computation.QuantizationPower consumptionmm-WaveSISOMU-MIMOComplexity and Quantization trade-offs for mm-Wave communication systemstext::thesis::master thesisthesis:43344