3 citations · 6 across the 24 of their papers we have counts for
25 papers
Neural Kalman Filtering for Unknown Dynamics: Task-Aware Learning with a Koopman Backbone
Mintaek Oh, Jeonghun Park, Nir Shlezinger +2
Recent years have witnessed a growing interest in AI-aided Kalman filters. While emerging methodologies, such as KalmanNet, were shown to facilitate tracking in partially known sta…
Fronthaul Compression for Uplink Cloud-RAN with Finite-Alphabet Inputs: A Reverse Mercury/Waterfilling Approach
Subin Shin, Jaehoon Lee, Seok-Hwan Park +1
The cloud radio access network (C-RAN) mitigates inter-cell interference by jointly processing the observations of distributed remote units (RUs) at a centralized unit (CU), but li…
Digital Twin-Aided Prescreening for User Scheduling in MU-MIMO Downlink Systems
Namhyun Kim, Mahmoud Saad Abouamer, Jeonghun Park +2
In dense deployments, massive multi-user multiple-input multiple-output (MU-MIMO) base stations can acquire instantaneous channel state information (CSI) for only a limited subset…
When 5G MIMO Scaling Breaks: Toward 6G Upper-Mid-Band Extreme MIMO
Kwang Soon Kim, Jeonghun Park, Byung-Wook Min +9
The upper-mid band, particularly the 7-8 GHz range within frequency range 3 (FR3), has emerged as a leading spectrum candidate for wide-area sixth-generation (6G) cellular networks…
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…
Space-Time Adaptive Beamforming for Satellite Communications: Harnessing Doppler as New Signaling Dimensions
Hyeongtak Yun, Seyong Kim, Jeonghun Park
Low Earth orbit (LEO) satellite downlinks are fundamentally limited by severe channel correlation: the line-of-sight (LoS)-dominant propagation and high orbital altitude confine us…
Fractional Programming for Kullback-Leibler Divergence in Hypothesis Testing
Jeongwoo Park, Seongkyu Jung, Kaiming Shen +1
Maximizing the Kullback-Leibler divergence (KLD) is a fundamental problem in waveform design for active sensing and hypothesis testing, as it directly relates to the error exponent…
The MIMO-ME-MS Channel: Analysis and Algorithm for Secure MIMO Integrated Sensing and Communications
Seongkyu Jung, Namyoon Lee, Jeonghun Park
This paper addresses precoder design for secure multiple-input multiple-output (MIMO) integrated sensing and communications (ISAC) systems. We introduce a MIMO channel with a multi…
Asymptotic Scaling Law Analysis of Multicast Satellite Communications with Massive MIMO
Seyong Kim, Jeonghun Park
In this paper, we consider a geostationary orbit (GEO) satellite communication system that employs massive multiple-input multiple-output (MIMO) for multicast transmission. By mode…
Efficient RF Chain Selection for MIMO Integrated Sensing and Communications: A Greedy Approach
Subin Shin, Seongkyu Jung, Jinseok Choi +1
In multiple-input multiple-output integrated sensing and communication (MIMO ISAC) systems, radio frequency chain (i.e., RF chain) selection plays a vital role in reducing hardware…
Space-Time Beamforming for LEO Satellite Communications
Jungbin Yim, Jinseok Choi, Jeonghun Park +2
Inter-beam interference poses a significant challenge in low Earth orbit (LEO) satellite communications due to dense satellite constellations. To address this issue, we introduce s…
Uplink Coordinated Pilot Design for 1-bit Massive MIMO in Correlated Channel
Hyeongtak Yun, Juntaek Han, Kaiming Shen +1
In this paper, we propose a coordinated pilot design method to minimize the channel estimation mean squared error (MSE) in 1-bit analog-to-digital converters (ADCs) massive multipl…
Reducing Latency by Eliminating CSIT Feedback: FDD Downlink MIMO Transmission for Internet-of-Things Communications
Juntaek Han, Namhyun Kim, Jeonghun Park
This paper presents a novel framework for low-latency frequency division duplex (FDD) multi-input multi-output (MIMO) transmission with Internet of Things (IoT) communications. Our…
A Selective Secure Precoding Framework for MU-MIMO Rate-Splitting Multiple Access Networks Under Limited CSIT
Sangmin Lee, Seokjun Park, Jeonghun Park +1
In this paper, we propose a robust and adaptable secure precoding framework designed to encapsulate a intricate scenario where legitimate users have different information security:…
Integrated Sensing and Communications in Downlink FDD MIMO without CSI Feedback
Namhyun Kim, Juntaek Han, Jinseok Choi +3
In this paper, we propose a precoding framework for frequency division duplex (FDD) integrated sensing and communication (ISAC) systems with multiple-input multiple-output (MIMO).…
Low-Earth Orbit Satellite Network Analysis: Coverage under Distance-Dependent Shadowing
Jinseok Choi, Jeonghun Park, Junse Lee +1
This paper offers a thorough analysis of the coverage performance of Low Earth Orbit (LEO) satellite networks using a strongest satellite association approach, with a particular em…
Spectrum Sharing Between Low Earth Orbit Satellite and Terrestrial Networks: A Stochastic Geometry Perspective Analysis
Daeun Kim, Jeonghun Park, Jinseok Choi +1
Low Earth orbit (LEO) satellite networks with mega constellations have the potential to provide 5G and beyond services ubiquitously. However, these networks may introduce mutual in…
LLM-Empowered Resource Allocation in Wireless Communications Systems
Woongsup Lee, Jeonghun Park
The recent success of large language models (LLMs) has spurred their application in various fields. In particular, there have been efforts to integrate LLMs into various aspects of…
Rate-Splitting for Joint Unicast and Multicast Transmission in LEO Satellite Networks with Non-Uniform Traffic Demand
Jaehyup Seong, Juha Park, Dong-Hyun Jung +2
Low Earth orbit (LEO) satellite communications (SATCOM) with ubiquitous global connectivity is deemed a pivotal catalyst in advancing wireless communication systems for 5G and beyo…
Multibeam Satellite Communications with Massive MIMO: Asymptotic Performance Analysis and Design Insights
Seyong Kim, Jinseok Choi, Wonjae Shin +2
To achieve high performance without substantial overheads associated with channel state information (CSI) of ground users, we consider a fixed-beam precoding approach, where a sate…
FDD Massive MIMO: How to Optimally Combine UL Pilot and Limited DL CSI Feedback?
Jungyeon Kim, Jinseok Choi, Jeonghun Park +2
In frequency-division duplexing (FDD) multiple-input multiple-output (MIMO) systems, obtaining accurate downlink channel state information (CSI) for precoding is vastly challenging…
Splitting Messages in the Dark- Rate-Splitting Multiple Access for FDD Massive MIMO Without CSI Feedback
Namhyun Kim, Ian P. Roberts, Jeonghun Park
A critical hindrance in realizing frequency division duplex (FDD) massive multi-input multi-output (MIMO) systems is the overhead associated with the downlink (DL) channel state in…
Modeling and Coverage Analysis of K-Tier Integrated Satellite-Terrestrial Downlink Networks
Jungbin Yim, Jeonghun Park, Namyoon Lee
Integrated satellite-terrestrial networks (ISTNs) can significantly expand network coverage while diminishing reliance on terrestrial infrastructure. Despite the enticing potential…
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…