Optimized Error Detection and Correction in ATM Networks Using the Enhanced Berlekamp Massey Algorithm With Hybrid Automatic Repeat Request

Asynchronous Transfer Mode (ATM) is a widely used communication method known for its high bandwidth features and low latency. It uses fixed size cells, namely 53 bytes, including 48 bytes for the real data and five bytes set for control purposes. To help in resolving any transmission issues, the control information contains components such as a Virtual Path Identifier (VPI), Virtual Channel Identifier (VCI), and Cyclic Redundancy Check (CRC). While Automatic Repeat Request (ARQ) can cause delays because of retransmissions, Forward Error Correction (FEC) improves efficiency by fixing errors without the need of data retransmissions. Reed-Solomon (RS) codes are widely used in ATM networks because of their ability in correcting burst errors. This study presents an Enhanced Berlekamp Massey Algorithm (EBMA) aimed to optimize RS error correction. EBMA simplifies computational tasks by focusing on certain polynomial coefficients, hence enhancing the efficiency of error correction. The method was developed and evaluated in MATLAB under different channel circumstances, and the Bit Error Rate (BER) and Signal-to-Noise Ratio (SNR) were much higher than using standard methods. Furthermore, a new adaptive algorithm has been developed that simplifies the process by dynamically modifying decoding parameters in real time according to channel conditions. This minimizes the need for unnecessary computations. The results show that EBMA can really improve the transmission reliability and data integrity in ATM networks.