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Found 4 papers, 1 papers with code
GPU-accelerated partially linear multiuser detection for 5G and beyond URLLC systems
In this feasibility study, we have implemented a recently proposed partially linear multiuser detection algorithm in reproducing kernel Hilbert spaces (RKHSs) on a GPU-accelerated platform.
Set-Theoretic Learning for Detection in Cell-Less C-RAN Systems
Cloud-radio access network (C-RAN) can enable cell-less operation by connecting distributed remote radio heads (RRHs) via fronthaul links to a powerful central unit.
Robust Cell-Load Learning with a Small Sample Set
Learning of the cell-load in radio access networks (RANs) has to be performed within a short time period.
Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach
We propose a novel online learning based detection for the NOMA uplink.
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