Massive multiuser multiple-input multiple-output (MUMIMO) is one of the fundamental wireless technologies compared to traditional MIMO technology. In MUMIMO, through the use of low resolution converters, made possible to solve problem of optimal power of bits quantized, through a single-bit resolution converters. Through this paper, the objective is to test and use simulated downlink resolution converters at the multi-bit level to reduce multi-user (MU) power allocation at the base station (BS). The proposed downlink resolution converters rely on biconvex relaxation (BCR) to optimize downlink power allocation by approaching the optimized error rate to quantization bit levels as compared with previous high resolution converters. The proposed work performance shows that there is a significant improvement in the implemented error-rate ADCs and quantization levels of DACs tracked by linear beam-formers used to optimize the power allocation beam in the MUMIMO massive downlink.