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Spiking Neural Network Decision Feedback Equalization
In the past years, artificial neural networks (ANNs) have become the de-facto standard to solve tasks in communications engineering that are difficult to solve with traditional methods.
Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal Multiple Access Resource Allocation Using Buffer State Information
For orthogonal multiple access (OMA) systems, the number of served user equipments (UEs) is limited to the number of available orthogonal resources.
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information
In particular, varying requirements lead to a non-convex optimization problem when maximizing the systems data rate while preserving fairness between UEs.
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