MMSE-SQRD Scheme for MIMO Transmission

Abstract

Now a day, wireless communication becomes a trend in many ways such as mobile online games, high quality online video calling and mobile multimedia transmissions, etc. So, the requirements of radio spectrum also increase, which makes radio spectrum more and more expensive]. A number of techniques utilize for the radio spectrums and also provide better Efficiency in MIMO communication system. In parallel, MIMO system is one of the promising technology of 5G, which predominance in boosting Spectrum Efficiency and Energy Efficient with low complexity. In MIMO structures, though the multiplexing gain can be obtained with an equal power allocation method , power control among users can help to gain all the benefits brought by antenna arrays Generally, MIMO Provides two types of gain to achieve fair power allocation: one is the spatial multiplexing (SM) gain and other is the diversity gain. In this paper, we present a novel computationally efficient algorithm for detecting QR-OSIC architectures with respect to the MMSE criterion. The QR –OSIC algorithm estimates the BER,  this will be minimized by providing the PA scheme at transmitter end and this algorithm improves the SINR. An improved detection ordering for MIMO System an ordered successive interference cancellation detector is determined under the bit error rate minimization. From the convexity of the Q -function, we derive the ordering strategy that makes the channel gains converge to their geometric mean. Based on the approach of this, first we designed the fixed ordering algorithm,  for which the geometric mean is used for a constant threshold. Later to improve the performance of the system like SNR, the modified new scheme employing adaptive thresholds is developed using the correlation among ordering results. Comparison of Theoretical analysis and simulation results shows that proposed ordering schemes using QR-decomposition requires reduced computational complexity and improved error performance and  SINR