Multi-­modal Beam Prediction for Enhanced Beam Management in Drone Communication Networks

The rapid development of drone communication technologies requires innovative solutions for improved beam management in millimeter wave (mmWave) 6G networks. This chapter introduces a state-of-the-art technique for mmWave beam prediction that considers real-world visual and communication contexts. It discusses a potential solution to the challenge of establishing reliable communications in drones. A novel approach is introduced to address the challenge of establishing reliable communications in unmanned aerial vehicles through a sensing-based prediction model that integrates visual and communication aspects to enhance beam prediction. This research contributes to the body of knowledge on drone communication by presenting a solution that enhances the efficiency and dependability of communication in drones. The results demonstrate how the proposed method accurately predicts K-beams and enhances the performance of mmWave drone communication networks overall. This work can be further enhanced by exploring alternative machine-learning techniques to improve the accuracy of prediction models.