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Found 6 papers, 0 papers with code
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations
Reinforcement learning (RL) plays a major role in solving complex sequential decision-making tasks.
Semi-Supervised Learning Approach for Efficient Resource Allocation with Network Slicing in O-RAN
This paper introduces an innovative approach to the resource allocation problem, aiming to coordinate multiple independent x-applications (xAPPs) for network slicing and resource allocation in the Open Radio Access Network (O-RAN).
Intelligent Reflecting Surfaces for Compute-and-Forward
Compute-and-forward is a promising strategy to tackle interference and obtain high rates between the transmitting users in a wireless network.
Information Theory Networking and Internet Architecture Information Theory
Reinforcement Learning with Subspaces using Free Energy Paradigm
We propose a free-energy minimization framework for selecting the subspaces and integrate the policy of the state-space into the subspaces.
D2D Assisted Multi-antenna Coded Caching
We identify scenarios and conditions where D2D transmission can reduce the delivery time.
Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic
In this paper, we introduce a novel end-to-end traffic classification method to distinguish between traffic classes including VPN traffic in three layers of the Open Systems Interconnection (OSI) model.
