… deep learning framework to allocate the power in the DL of a Massive MIMO network with MR
and M-MMSE precoding. Two power allocation … able to learn how to allocate powers to the …

… (S)target,i represent the output of the power allocation by the DNN, the target output of
the power allocation by the training data set, the intermediate value by the DNN, and the …

… learning algorithms to solve the power allocation problem in DAS. For example, we will try to
use the CNN to realize power allocation … In addition, we will try to use migration learning to …

… learning method for subchannel allocation is proposed. In order to solve the channel allocation
… function in the deep learning model, and get the optimal power allocation by minimizing …

… data, deep learning enhances the system performance.Motivated by … power of deep learning,
this paper provides a detailed overview of the role deep learning plays in power allocation …

… Existing techniques typically find near-optimal power allocations by solving a challenging …
power allocation scheme is developed based on model-free deep reinforcement learning. …

… In this paper, with the help of deep learning, an improved long-term power allocation DL-PA …
the performance of our long-term power allocation scheme. Taking the advantage of the …

… This paper proposes a fully autonomous power allocation method for IoT-D2D … using
deep learning. In the proposed scheme, an IoT-D2D transmitter decides the transmit power …

… of using deep learning for wireless resource allocation with … the deep-learning philosophy
in wireless resource allocation and … In [16], the NPhard power allocation problem in an …

… power allocation [2]) are overlooked. In this paper, we try to address this gap by studying the
adversarial attacks against DL-based optimal power allocation … the optimal power allocation …