Enabling Resilient Wireless Networks: OFDMA-Based Algorithm for Enhanced Survivability and Privacy in 6G IoT Environments

In the evolving landscape of next-generation wireless networks, ensuring the survivability and privacy of Internet of Things (IoT) networks is paramount. This paper introduces a pioneering algorithm, 'Enabling Resilient Wireless Networks,' designed for orthogonal frequency division multiple access (OFDMA) systems in cognitive radio networks, with a focus on 6G IoT environments. The proposed algorithm strategically divides the downlink of OFDMA structures, addressing spectrum scarcity challenges and leveraging the OFDM technique for reliable and effective transmission. Through comprehensive simulations, we demonstrate that the algorithm not only achieves higher throughput but also enhances security, surpassing existing models such as Rayleigh and Rician. The results underscore the efficacy of our approach, with the proposed algorithm showing a significant improvement in bit error rate for the OFDMA technique (10 dB SNR) compared to Rayleigh and Rician models. This work contributes to the overarching themes of survivability, security, and performance evaluation for Next-Generation Wireless Networks. Future work will involve testbed implementations to validate the system's performance and real-world application in 6G IoT environments.