LDPC code design with 5G based on hybrid lyre puffer fish optimization

A specific linear block code class with a Low-Density Parity-Check (LDPC) matrix is known as the LDPC code. LDPC codes are widely used in error correction due to their near-optimal and fast performance. In this research, an effective LDPC code design method called Lyre Pufferfish Optimization (LPFO) is designed. Primarily, the LDPC with the 5th Generation (5G) system model is considered and the LDPC code is created. The binary data is encoded using the LDPC encoder, and parity checks are performed using the LDPC decoder. Here, the LPFO system is processed by the complete parity-check matrix (i.e., H-matrix), which is accomplished based on the proposed hybrid LPFO. The proposed LPFO is devised by the amalgamation of the Lyrebird Optimization Algorithm (LOA) and Pufferfish Optimization Algorithm (POA) with Block Error Rate (BLER) for the fitness function. Additionally, LPFO recorded the least BLER, Bit Error Rate (BER), and decoding complexity about 1.00E-09, 5.00E-10 and 0.752 respectively.