ABSTRACT
A full examination of multiple-access systems is explored and multicarrier waveforms from first- to fifth-generation (1G–5G) cellular networks are tested together. To reach a large number of users, the new 5G-based NOMA system is combined with Internet of Things (IoT). In contrast to standard orthogonal multicarrier approaches, NOMA employs non-orthogonal spread on the transmission side, resulting in both inter-cell and intra-cell interferences. Concurrent power and information transfer (CPIT-IoT) structure is developed using NOMA with genetic algorithm based layered partial transmit sequence (GA-LPTS) FBMC system to address the shortcomings of OFDM (orthogonal frequency division multiplexing) as well as the energy-constrained lifespan of IoT. This technique proposes that user nodes (UNs) be capable of both energy harvesting and information decoding utilizing separate antennas. An iterative interference cancellation approach is employed at both base stations and UNs to cancel the inherent interference. To improve the physical layer security of the filter bank multicarrier/offset quadrature amplitude (FBMC/OQAM) system, a diversity deoxyribonucleic acid (DNA) chaotic encryption approach is presented. After the original binary bit stream is encrypted, it is modulated with FBMC/OQAM. The bit data encryption process is dynamically regulated by chaotic sequences created by a hybrid chaotic system built of improved-logistic and delayed tent sine systems, which increases resilience against malicious assaults by unlawful attackers. The 5G-based NOMA technology is integrated with IoT to reach a huge number of consumers. In terms of increased DFT spreading, the proposed results surpass existing systems using genetic algorithm-based GA-LPTS (layered partial transmit sequence) schemes and diversity DNA encryption-based GA-LPTS schemes. The suggested power information transfer-IoT with NOMA-based GA-LPTS FBMC scheme surpasses the existing techniques, according to the findings comparison.
