Finite precision processing in wireless applications

Complex signal processing algorithms are often specified in floating point precision. Thus, a type conversion is needed when the targeted platform requires fixed-point precision. In this work we proposed a new method to evaluate the final impact of finite precision processing in wireless applications. The latter combines analytical analysis with simulations. This extends previous work including the effect of the decision-making errors resulting from quantization. Thereby efficient dimensioning of the minimum bit-widths that satisfy a given accuracy constraint can be deployed. The method is validated with two representative case studies, namely an OFDM inner receiver and a Near-ML MIMO (Multiple Inputs, Multiple Outputs) detector.