Transfer Learning with Reconstruction Loss
In most applications of utilizing neural networks for mathematical optimization, a dedicated
model is trained for each specific optimization objective. However, in many scenarios …
model is trained for each specific optimization objective. However, in many scenarios …
Loss Function Fusion for Learning Based CSI Extrapolation Enhancement
To reduce the overhead of channel state information (CSI) measurement and feedback, the
extrapolation of the unmeasured CSI has drawn much attention, where deep learning is …
extrapolation of the unmeasured CSI has drawn much attention, where deep learning is …
Learning Adaptive Beamforming Policy for Different Optimization Problems
Deep learning has been widely used for wireless optimization. In most existing studies, a
deep neural network (DNN) is trained for a particular optimization problem and then tested …
deep neural network (DNN) is trained for a particular optimization problem and then tested …