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20162026
most citedResolution-Adaptive Hybrid MIMO Architectures for Millimeter Wave Communications

96 citations · 191 across the 30 of their papers we have counts for

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11 papers · 1 filter

eess.SP2026

Scalable and Convergent Generalized Power Iteration Precoding for Massive MIMO Systems

Seunghyeong Yoo, Mintaek Oh, Jeonghun Park +2

In massive multiple-input multiple-output (MIMO) systems, achieving high spectral efficiency (SE) often requires advanced precoding algorithms whose complexity scales rapidly with…

eess.SP2024

Joint and Robust Beamforming Framework for Integrated Sensing and Communication Systems

Jinseok Choi, Jeonghun Park, Namyoon Lee +1

Integrated sensing and communication (ISAC) is widely recognized as a fundamental enabler for future wireless communications. In this paper, we present a joint communication and ra…

eess.SP2023

On the Learning of Digital Self-Interference Cancellation in Full-Duplex Radios

Jungyeon Kim, Hyowon Lee, Heedong Do +5

Full-duplex communication systems have the potential to achieve significantly higher data rates and lower latency compared to their half-duplex counterparts. This advantage stems f…

eess.SP2023★ 2 cited

Learning-Based One-Bit Maximum Likelihood Detection for Massive MIMO Systems: Dithering-Aided Adaptive Approach

Yunseong Cho, Jinseok Choi, Brian L. Evans

In this paper, we propose a learning-based detection framework for uplink massive multiple-input and multiple-output (MIMO) systems with one-bit analog-to-digital converters. The l…

eess.SP2022

Adaptive Learning-Based Detection for One-Bit Quantized Massive MIMO Systems

Yunseong Cho, Jinseok Choi, Brian L. Evans

We propose an adaptive learning-based framework for uplink massive multiple-input multiple-output (MIMO) systems with one-bit analog-to-digital converters. Learning-based detection…

eess.SP2022

Coordinated Per-Antenna Power Minimization for Multicell Massive MIMO Systems with Low-Resolution Data Converters

Yunseong Cho, Jinseok Choi, Brian L. Evans

A multicell-coordinated beamforming solution for massive multiple-input multiple-output orthogonal frequency-division multiplexing (OFDM) systems is presented when employing low-re…

eess.SP2021★ 2 cited

Coordinated Beamforming in Quantized Massive MIMO Systems with Per-Antenna Constraints

Yunseong Cho, Jinseok Choi, Brian L. Evans

In this work, we present a solution for coordinated beamforming for large-scale downlink (DL) communication systems with low-resolution data converters when employing a per-antenna…

eess.SP2021

Secure Transmission for Hierarchical Information Accessibility in Downlink MU-MIMO

Kanguk Lee, Jinseok Choi, Dong Ku Kim +1

Physical layer security is a useful tool to prevent confidential information from wiretapping. In this paper, we consider a generalized model of conventional physical layer securit…

eess.SP2021

Energy Efficiency Maximization Precoding for Quantized Massive MIMO Systems

Jinseok Choi, Jeonghun Park, Namyoon Lee

The use of low-resolution digital-to-analog and analog-to-digital converters (DACs and ADCs) significantly benefits energy efficiency (EE) at the cost of high quantization noise in…

eess.SP2021★ 1 cited

Rate-Splitting Multiple Access for Downlink MIMO: A Generalized Power Iteration Approach

Jeonghun Park, Jinseok Choi, Namyoon Lee +2

Rate-splitting multiple access (RSMA) is a general multiple access scheme for downlink multi-antenna systems embracing both classical spatial division multiple access and more rece…

eess.SP2019

Base Station Antenna Selection for Low-Resolution ADC Systems

Jinseok Choi, Junmo Sung, Narayan Prasad +3

This paper investigates antenna selection at a base station with large antenna arrays and low-resolution analog-to-digital converters. For downlink transmit antenna selection for n…