Ryan Mitchell Dreifuerst

Works (3)

Updated: April 5th, 2024 16:10

2022 journal article

Deep Reinforcement Learning-Based Scheduling for Multiband Massive MIMO

IEEE ACCESS, 10, 125509–125525.

By: V. Lopes*, C. Nahum, R. Dreifuerst*, P. Batista*, A. Klautau, K. Cardoso*, R. Heath Jr

author keywords: Multiband scheduling; MIMO; DRL-based scheduling; mmWave
TL;DR: This paper considers a massive MIMO system where channels are dynamically allocated in different frequency bands and proposes deep reinforcement learning (DRL) agents to perform user scheduling and shows that the DRL models outperformed baselines obtaining a 20% higher network sum rate and an 84% smaller packet loss rate. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: January 3, 2023

2022 article

Massive MIMO Beam Management in Sub-6 GHz 5G NR


By: R. Dreifuerst*, R. Heath n & A. Yazdan*

TL;DR: It is shown that machine learning can be used to train site-specific codebooks for initial access and approaches the optimal performance (perfect CSI and singular value decomposition (SVD)-based beamforming), using only a few bits of feedback. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: October 31, 2022

2022 journal article

SignalNet: A Low Resolution Sinusoid Decomposition and Estimation Network


By: R. Dreifuerst n & R. Heath n

author keywords: Signal processing algorithms; Estimation; Quantization (signal); Signal resolution; Task analysis; Neural networks; Data models; Sinusoid decomposition; estimation; deep-learning; low-resolution; detection
TL;DR: This work proposes SignalNet, a neural network architecture that detects the number of sinusoids and estimates their parameters from quantized in-phase and quadrature samples that incorporates signal reconstruction internally as domain knowledge within the network to enhance learning and surpass traditional algorithms in mean squared error and Chamfer error. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: October 3, 2022

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