Bit Error Rate Analysis of GFDM Based Wireless Communication System and Spectral Efficiency Improvement Using Amc Technique

The ever-increasing demand for wireless communication, high data rate is driving researchers to explore advance fields that can maintain high data rates under variable channel conditions, ultimately enhancing the performance of communication systems. The integration of 5G techniques like GFDM, FBMC, UFMC etc. with adaptive modulation and coding (AMC) is a promising technique for maximizing data rates under diverse channel conditions in wireless communication systems. In previous research, AMC have reported for OFDM with Convolutional code, Polar Code etc. This paper analyses the performance of generalized frequency division multiplexing (GFDM) in combination with AMC technique for fluctuating channel conditions. In this paper, the system employs a dynamic channel coding strategy, which intelligently switches between turbo codes, convolutional codes or without coding. This adaptation enables robust performance and high spectral efficiency across a broad range of channel conditions. Through simulations, we derive a mapping between different modulations, channel coding scheme and SNR conditions. The results demonstrate a substantial improvement in BER performance and spectral efficiency across a wide range of SNR values.