Quantum Neural Networks for Optimal Resource Allocation in Cell-Free MIMO Systems

In this paper, the potential benefit of employing quantum neural networks (QNNs) for cell-free MIMO is explored. In particular, QNN-based scheme are used to optimize transmitter-user assignment in cell-free MIMO. The objective of the optimization is to maximize the minimum achieved sum rate. Although QNN has received increasing research attention owing to the potential benefit of quantum computation, its utilization for multi-transmitter scenario is still limited. As such, in this paper, we consider the QNN-based algorithm for optimal resourcea allocation in cell-free MIMO systems. We also demonstrate the advantage of our proposed QNN-based algorithm through the numerical results.