10 citations · 17 across the 12 of their papers we have counts for
8 papers · 1 filter
Deep Learning in Downlink Coordinated Multipoint in New Radio Heterogeneous Networks
Faris B. Mismar, Brian L. Evans
We propose a method to improve the performance of the downlink coordinated multipoint (DL CoMP) in heterogeneous fifth generation New Radio (NR) networks. The standards-compliant m…
A Hybrid Beamforming Receiver with Two-Stage Analog Combining and Low-Resolution ADCs
Jinseok Choi, Gilwon Lee, Brian L. Evans
In this paper, we propose a two-stage analog combining architecture for millimeter wave (mmWave) communications with hybrid analog/digital beamforming and low-resolution analog-to-…
Robust Learning-Based ML Detection for Massive MIMO Systems with One-Bit Quantized Signals
Jinseok Choi, Yunseong Cho, Brian L. Evans +1
In this paper, we investigate learning-based maximum likelihood (ML) detection for uplink massive multiple-input and multiple-output (MIMO) systems with one-bit analog-to-digital c…
Hybrid Powerline/Wireless Diversity for Smart Grid Communications: Design Challenges and Real-time Implementation
Junmo Sung, Mostafa Sayed, Mahmoud Elgenedy +4
The demand for energy is growing at an unprecedented pace that is much higher than the energy generation capacity growth rate using both conventional and green technologies.In part…
Two-Stage Analog Combining in Hybrid Beamforming Systems with Low-Resolution ADCs
Jinseok Choi, Gilwon Lee, Brian L. Evans
In this paper, we investigate hybrid analog/digital beamforming for multiple-input multiple-output (MIMO) systems with low-resolution analog-to-digital converters (ADCs) for millim…
A Framework for Automated Cellular Network Tuning with Reinforcement Learning
Faris B. Mismar, Jinseok Choi, Brian L. Evans
Tuning cellular network performance against always occurring wireless impairments can dramatically improve reliability to end users. In this paper, we formulate cellular network pe…