LMS for Truncate CSI Feedback in Massive MIMO

In this work, a new methodology for estimation of channel state information (CSI) is presented dependent upon the idea of Least Mean Square (LMS). The strategy is formed to massive MIMO frameworks through feedback communications. The technique is intended to reduce the amount of feedback communication information contains in the CSI data block from the mobile client to the base station. The data amount of encoder at the mobile client side is reduced utilizing the discrete cosine transform (DCT) on the CSI matrix. The retrieved CSI data block toward the base station side employments an IDCT (Inverse DCT) with recreate those CSI matrix. Our simulations indicate better results considering normalized mean-square-error (NMSE) as performance measurement against existing methodologies.