Combining air-to-ground network experiences with Fifth Generation (5G) communications, inferred path loss and Doppler impacts on communication dependability due to the difference in downlink sampling rates of receiver amplification gain intensities. This work addresses the challenges of route loss and Doppler effects in dynamic communication scenarios by integrating air-to-ground communication concepts with 5G networks. This research combines air-to-ground communication concepts with 5G networks to improve signal dependability, compensating for path loss and Doppler effects. The introduced Down-Link Amplified Loss Function Module (DALFM) dynamically adjusts amplification and sampling procedures to offset transmission losses. The module optimizes signal gain with a recurrent learning architecture to provide dependable communication under various conditions. Experimental validation attests that DALFM enhances transmission gain by 8.12%, sample rate by 10.67%, and reduces path loss by 9.57%. The findings bring their capacity to enhance 5G air-to-terrestrial networks into perspective, paving the way for more solid and flexible wireless communication.