Multi user -Multiple-input multiple-output (MU-MIMO) based wireless communication system has several advantage over conventional MIMO systems such as high data rate and channel capacity which drawn great attention recently and prominently preferred for 5G systems. And on the other side interferences due to the multi user mobile environment such as co-channel interference and multiple access interference the overall system performance will be degraded and highly reliable techniques need to be incorporate to improve the Quality of services. Moreover the energy efficiency and compactness requirement of 5G systems presents new challenges to investigate techniques for reliable communications. In this paper we introduce a novel low-complexity radix factorization based fast Fourier transform multi beam former and maximal likelihood -multi user detection (ML-MUD) techniques as signal detector tailored with optimal sub detector systems which results with considerable complexity reduction with intolerable error rate performance. The proposed radix factorized Fast Fourier transform -multi-beam forming (RF-FFT-MBF) architectures have the potential to reduce both hardware complexity and energy consumptions as compared to its state-of-the-art methods while meeting the throughput requirements of emerging 5G devices. Here through simulation results the efficiency of scaled ML sub detector system at the downlink side is compared with the conventional ML detectors. Through experimental results it is well proved that the proposed detector offers significant hardware and energy efficiency with least possible error rate performance overhead.