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Found 6 papers, 0 papers with code
GDOP Based BS Selection for Positioning in mmWave 5G NR Networks
We propose a BS selection algorithm for UE positioning based on the GDOP of the BSs participating in the positioning process.
Supervised Learning based Sparse Channel Estimation for RIS aided Communications
In the on-grid case, we propose an algorithm to estimate the direct and RIS channels.
Untrained DNN for Channel Estimation of RIS-Assisted Multi-User OFDM System with Hardware Impairments
Further, we have shown that the proposed estimator is robust to interference caused by the hardware impairments at the transceiver and RIS.
Deep Learning-based Power Control for Cell-Free Massive MIMO Networks
Specifically, we model a deep neural network (DNN) and train it in an unsupervised manner to learn the optimum user power allocations which maximize the minimum user rate.
Intelligent Reflecting Surface Aided Vehicular Communications
An intelligent reflecting surface consists of passive elements, which can reflect the incoming signals with adjustable phase shifts.
Deep Contextual Bandits for Fast Initial Access in mmWave Based User-Centric Ultra-Dense Networks
In this paper, we propose a novel deep contextual bandit (DCB) based approach to perform fast and efficient IA in mmWave based UC UD networks.
