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Found 6 papers, 0 papers with code
Machine Learning-based xApp for Dynamic Resource Allocation in O-RAN Networks
We present an xApp-based implementation for the proposed ML algorithm.
Neural Networks for Path Planning
The scientific community is able to present a new set of solutions to practical problems that substantially improve the performance of modern technology in terms of efficiency and speed of computation due to the advancement in neural networks architectures.
Distributed Learning for Vehicular Dynamic Spectrum Access in Autonomous Driving
Reliable wireless communication between the autonomously driving cars is one of the fundamental needs for guaranteeing passenger safety and comfort.
Reinforcement Learning Algorithm for Traffic Steering in Heterogeneous Network
Heterogeneous radio access networks require efficient traffic steering methods to reach near-optimal results in order to maximize network capacity.
Increasing Energy Efficiency of Massive-MIMO Network via Base Stations Switching using Reinforcement Learning and Radio Environment Maps
The proposed RL-based BSs switching algorithm is proven to provide 70% gains in EE over a state-of-the-art algorithm using an analytical heuristic.
6G White Paper on Edge Intelligence
We present edge computing along with other 6G enablers as a key component to establish the future 2030 intelligent Internet technologies as shown in this series of 6G White Papers.
