The Use of Deep Neural Networks (DNNs) for Power Allocation Estimation in Multiple-Input Multiple-Output (MIMO) Systems

Deep Neural Networks (DNNs) have been used to find optimal solutions for various problems in Multiple-Input Multiple-Output (MIMO) systems. One advantage of using DNNs in power allocation for MIMO systems is their ability to learn the nonlinear relationship between the channel and power allocation, leading to improved power allocation and overall system performance in 5G and future 6G communications. Additionally, DNNs can efficiently calculate power allocation, enhancing system speed and scalability, and they can learn optimal power allocation with greater accuracy by incorporating complex channel characteristics that traditional algorithms cannot handle.