This work presents a machine learning approach to optimize the energy efficiency (EE) in a
multi-cell wireless network. This optimization problem is non-convex and its global optimum …

The data used during training in any given application space are directly tied to the
performance of the system once deployed. While there are many other factors that are …

We propose a new approach for power control in wireless networks using self-supervised
learning. We partition a multi-layer perceptron that takes as input the channel matrix and …

In this work, we conduct a comparative study on two deep unfolding mechanisms to
efficiently perform power control in the next generation wireless networks. The power control …

With the increasing application of internet of things (IoT), the number of wirelessly
transmitting devices is on a rise. It is important that the energy efficiency (EE) is maximized to …

This work presents a machine learning approach to optimize the energy efficiency (EE) in an
interference network. This optimization problem is non-convex and it is difficult to find its …