Interference Power Reduction Algorithm for Massive MIMO Linear Processing ZF Receiver

Through large number of antennas, frequency reuse concept enables to suppress interference and to increase the spectral efficiency. To achieve high speed data transmission and to increase capacity, it is very important to focus on spectrum efficiency and to overcome the channel fading in multipath channel environment. Existing traditional modulation techniques such as Multiple-input multiple-output-Orthogonal frequency division multiplexing (MIMO-OFDM) system, combining the OFDM and MIMO technologies can meet the requirements. A group of independently operating terminals transmitting data streams instantaneously to a closely gathered antennas arranged as an array. This antenna array transmits pilot signals to gather the required information. As the Channel State Information (CSI) is imperfect, the antennas transmit pilot signals to acquire the CSI as well as the transmitted power rates from the terminals. To compensate the loss and without reducing the performance levels at the base station end, the power dissipated is maintained reciprocally proportional to the square of the root of the total used antennas. But when CSI is known, the transmitted power is made oppositely symmetrical to the total number of antennas. For Zero forcing (ZF) and Maximum Ratio Combining (MRC) detection, lower capacity bounds are been derived. It is been observed that ZF outperformed MRC. A power scaling method is considered for the analysis of uplink sum rate with imperfect and perfect CSI, the increase in the antenna numbers shows that the sum rate on the uplink side between ZF and MRC reduces and with a constant increase in the number of antennas there won’t be any difference between ZF and MRC. In this paper Algorithmic-based Interference Power reduction Linear Processing ZF Receiver is proposed for Massive MIMO also the need of beamforming techniques in Massive MIMO systems in overcoming the technically developed obstacles in the deployment of Massive MIMO system is studied. Simulation is carried out by using Python, the SNR values for Maximal Ratio Combiner (MRC), Zero forcing (ZF) in a 2 * 2 MIMO are also compared. With the proposed receiver performance enhancement of Massive MIMO systems and interference cancelation with and without Power Scaling is been observed.