Beamforming Design

Beamforming design optimizes the transmission or reception of signals using antenna arrays to focus energy in a desired direction, improving signal quality and efficiency. Current research emphasizes developing computationally efficient algorithms, including deep learning approaches and heuristic methods like differential evolution, to address the complexity of joint optimization problems involving beamforming, power allocation, and resource management in diverse applications such as 5G/6G wireless communication and federated learning. These advancements are crucial for enhancing spectral efficiency, reducing latency, and improving the performance of wireless systems and distributed AI applications. The development of robust and optimal solutions, even for complex scenarios like those involving reconfigurable intelligent surfaces, is a key focus.