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Efficient Beam Search for Initial Access Using Collaborative Filtering
Our algorithm is based on a recommender system that associates groups (i. e., UEs) and preferences (i. e., beams from a codebook) based on a training data set.
Towards Realistic Statistical Channel Models For Positioning: Evaluating the Impact of Early Clusters
Based on our measurement and simulation results, we propose a model for incorporating the signal reflection by obstacles in the vicinity of transmitter or receiver, so that the outcome of the model corresponds to the measurement made in such scenario.
Complementary Semi-Deterministic Clusters for Realistic Statistical Channel Models for Positioning
The models that capture the physical effects observed in a realistic deployment scenario are essential for assessing the potential benefits of enhancements in positioning methods.
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