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Found 7 papers, 0 papers with code
Analysis of Reinforcement Learning Schemes for Trajectory Optimization of an Aerial Radio Unit
This paper introduces the deployment of unmanned aerial vehicles (UAVs) as lightweight wireless access points that leverage the fixed infrastructure in the context of the emerging open radio access network (O-RAN).
AI-based Optimal scheduling of Renewable AC Microgrids with bidirectional LSTM-Based Wind Power Forecasting
In terms of the operation of microgrids, optimal scheduling is a vital issue that must be taken into account.
Self Interference Management in In-Band Full-Duplex Systems
The evolution of wireless systems has led to a continuous increase in the demand for radio frequency spectrum.
AI-Driven Demodulators for Nonlinear Receivers in Shared Spectrum with High-Power Blockers
Research has shown that communications systems and receivers suffer from high power adjacent channel signals, called blockers, that drive the radio frequency (RF) front end into nonlinear operation.
Emulating dynamic non-linear simulators using Gaussian processes
The dynamic emulation of non-linear deterministic computer codes where the output is a time series, possibly multivariate, is examined.
Small ensembles of kriging models for optimization
The Efficient Global Optimization (EGO) algorithm uses a conditional Gaus-sian Process (GP) to approximate an objective function known at a finite number of observation points and sequentially adds new points which maximize the Expected Improvement criterion according to the GP.
An analytic comparison of regularization methods for Gaussian Processes
A measure for data-model discrepancy is proposed which serves for choosing a regularization technique. In the second part of the paper, a distribution-wise GP is introduced that interpolates Gaussian distributions instead of data points.
