most citedDeep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mmWave Networks

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

eess.SY2022★ 2 cited

Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mmWave Networks

Yujie Yao, Hao Zhou, Melike Erol-Kantarci

Millimeter Wave (mmWave) is an important part of 5G new radio (NR), in which highly directional beams are adapted to compensate for the substantial propagation loss based on UE loc…