Artificial Intelligence-Powered Antenna Design for 6G and Beyond Wireless Communication

Innovative antenna designs are necessary to meet the high-speed, low-latency needs of 6G and next-generation wireless networks. Because of problems with scalability, efficiency, and flexibility, the performance of standard antenna design approaches degrades in dynamic conditions. Real-time network optimization, interference, and energy usage are additional issues with these systems. The AI-driven antenna design is based on ML and DL techniques. The antenna's architecture is optimized using an AI-based system that continuously learns and adapts to the evolving behavior of the network. It optimizes antennas in real-time by using data preprocessing, feature extraction, and ML models. When compared to the newest technology, it exhibits improvements in throughput, latency, energy usage, and signal quality. These include a 35% reduction in energy consumption, a 40% reduction in latency, and a 20% increase in throughput. The results show that the proposed system can increase network performance and efficiency, which supports the proposed system's potential applicability for wireless communication in 6G and beyond.