96 citations · 191 across the 30 of their papers we have counts for
32 papers
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…
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…
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…
Spherical Point Process with Random Heights: New Approach for Modeling and Analysis of Downlink Satellite Networks
Seyong Kim, Jinseok Choi, Namyoon Lee +2
The Low Earth Orbit (LEO) satellite industry is undergoing rapid expansion, with operators competitively launching satellites due to the first-come, first-served principle governin…
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…
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…
Joint Optimization for Secure and Reliable Communications in Finite Blocklength Regime
Mintaek Oh, Jeonghun Park, Jinseok Choi
To realize ultra-reliable low latency communications with high spectral efficiency and security, we investigate a joint optimization problem for downlink communications with multip…
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…
Rate-Splitting Multiple Access for Quantized Multiuser MIMO Communications
Seokjun Park, Jinseok Choi, Jeonghun Park +2
This paper investigates the sum spectral efficiency maximization problem in downlink multiuser multiple-input multiple-output (MIMO) systems with low-resolution quantizers at an ac…
Joint Precoding and Artificial Noise Design for MU-MIMO Wiretap Channels
Eunsung Choi, Mintaek Oh, Jinseok Choi +3
Secure precoding superimposed with artificial noise (AN) is a promising transmission technique to improve security by harnessing the superposition nature of the wireless medium. Ho…
A Tractable Approach to Coverage Analysis in Downlink Satellite Networks
Jeonghun Park, Jinseok Choi, Namyoon Lee
Satellite networks are promising to provide ubiquitous and high-capacity global wireless connectivity. Traditionally, satellite networks are modeled by placing satellites on a grid…
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…
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…
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…
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…
Quantized Massive MIMO Systems with Multicell Coordinated Beamforming and Power Control
Jinseok Choi, Yunseong Cho, Brian L. Evans
In this paper, we investigate a coordinated multipoint (CoMP) beamforming and power control problem for base stations (BSs) with a massive number of antenna arrays under coarse qua…
Coordinated Multicell Beamforming and Power Allocation for Massive MIMO with Low-Resolution ADC/DAC
Yunseong Cho, Jinseok Choi, Brian L. Evans
In this work, we present a solution for coordinated beamforming and power allocation when base stations employ a massive number of antennas equipped with low-resolution analog-to-d…
Advanced Receiver Architectures for Millimeter Wave Communications with Low-Resolution ADCs
Jinseok Choi, Gilwon Lee, Ahmed Alkhateeb +3
Employing low-resolution analog-to-digital converters (ADCs) for millimeter wave receivers with large antenna arrays provides opportunity to efficiently reduce power consumption of…
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…
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…
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…
Analysis of Ergodic Rate for Transmit Antenna Selection in Low-Resolution ADC Systems
Jinseok Choi, Brian L. Evans
In this paper, we analyze the ergodic rate of single transmit antenna selection (TAS) in low-resolution analog-to-digital converter (ADC) systems. Using low-resolution ADCs is a po…