<p>With the demand for high-speed, energy-efficient, and interference-free 5G communication growing every day, combining intelligent antenna systems with renewable energy sources has proven to be a promising solution. This paper introduces a solar-integrated MIMO antenna array designed for ultra-wideband data transmission across multiple high-frequency bands and capable of harvesting renewable energy through integrated photovoltaic cells. These PV cells are strategically incorporated in the antenna design to facilitate continuous power harvesting without compromising antenna performance. A Maximum Power Point Tracking system enables effective energy harvesting, and a sole power management unit regulates the supply of energy to the MIMO array and associated 5G components. Antenna performance is evaluated using full-wave simulations using commercial electromagnetic design software to obtain optimum radiation, return loss, impedance matching, and bandwidth on all target frequency bands. In order to enhance the quality of communication, an equalizer based on a Convolutional Neural Network is employed in Python using deep learning software and trained to mitigate channel degradation such as multipath fading, interference, and noise. AI-based equalization technology enables accurate signal reconstruction in Rayleigh, Rician, and mmWave fading channels. The integrated Solar-MIMO-CNN framework joins together renewable energy harvesting, cognitive signal processing, and high-frequency communication into one single solution for next-generation 5G networks of the future. The system is scalable for use in both urban and rural areas, supporting efficient and sustainable communication infrastructure. Future work would focus on building a hardware prototype, real-time experiments, and adaptive learning techniques for dynamic channel equalization for further enhancing system robustness and performance in practical environments.</p>