Resource Management in NOMA-based Wireless Communication using Hybrid Transit Search Archimedes Algorithm

Non-Orthogonal Multiple Access has proved to be one of the best candidate technology that can be used in 5G and next-gen wireless communication. NOMA allows sharing of same resources like time slot and frequency band with multiple users simultaneously but with differential power to extend spectral efficiency, large connectivity and fairness. To optimize the network performance adoption of a hybrid algorithm for resource and power allocation in NOMA is one of the big challenges to surge in demand for efficient resource management in next-gen wireless communication. This paper introduces a novel hybrid approach in NOMA, the Hybrid Transit Search Archimedes Algorithm (HTSAA-NOMA) for resource management in a network. The proposed algorithm combines the global exploration capabilities of the Transit search algorithm with the convergence capability of the Archimedes Algorithm ensuring optimal power allocation and subcarrier assignment. The effectiveness of the HTSAA-NOMA is validated by comparing its simulation results with individual optimization algorithms. The results demonstrate the significant improvement in fairness, throughput and computational efficiency. The paper offers the comprehensive framework for advancing resource allocation for next-gen wireless communication.