Optimization of Adaptive Coding Technique for BER Performance Improvement

Abstract

The demand for high speed wireless mobile communications is speedily growing. OFDM technique promises to be a key technique for achieving the high data managing capacity and spectral efficiency necessities for wireless communication systems of the in the vicinity of future. These techniques make use of information obtained by dynamically tracking the radio channel response, to optimize the BER. Adaptive modulation separately optimizes the modulation system practical to each subcarrier so that bit error rate should be minimized. Orthogonal frequency division multiplexing scheme is based on divergent to single-carrier systems, is considered to be the upcoming of the wireless communication and is being used to accomplish high data rate by overcoming rigorous channel environment without the use of these complex filters. In wireless communication systems, multiples copies of the transmitted signal appear at the receiver. This occurrence causes channel variations in the frequency domain over the transmission bandwidth. In this method, the entire bandwidth is separated into several subchannels, and, as a result, each subchannel experiences approximately a flat fading channel. In this piece, we worked on diverse areas in OFDM systems: 1) Turbo coding on OFDM transmission to improve bit error rate. 2) Performance of OFDM system using FPGA. 3) PAPR reduction in wireless OFDM system using PTS and SLM technique. 4) Artificial Intelligence enabled turbo coded OFDM system for improved bit error rate performance. In propose system BER performance of any wireless communication system is the primary factor of consideration for the network under evaluation. Turbo coded OFDM systems comprise always outperformed other communication standards in terms of delay of communication, taken as a whole system efficiency and flexibility. Bit error rate performance of Turbo coded OFDM systems has constantly been a challenge for network designers, due to the verity that turbo encoders vary largely in terms of their crucial specifications like code length and code rate among other network parameters