Abstract: Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, ...
Abstract: Previous RRAM-based computing-in-memory works mainly focus on the current-domain approach. However, the performance and accuracy of current computation are limited by large read currents of ...