5G Channel Estimation of NOMA-OFDM System using Arctangent LMS Algorithm

Abstract

Technology has dramatically advanced in the modern era, and wireless communications are now essential. The non- orthogonal multiple access (NOMA) system can be used with the orthogonal frequency division multiplexing (OFDM) approach to attain higher spectral efficiency. Due to its improved spectrum efficiency, NOMA has recently drawn a large interest and could be crucial in advancing network capability. For this study, we propose the Arctangent Least Mean Square (ATLMS) Algorithms, which are created for channel estimations in the NOMA-OFDM system and aim to minimize BER, and MSE and also to boost the system capacity as well as the number of accessible users. The suggested method for channel estimation impact on the NOMA-OFDM system is demonstrated using simulation data.