이원종 교수
Wanjoong Lee
서울대학교 지능정보융합학과 · 컴퓨터과학
연구실 소개
이원종 교수의 연구실은 통신 시스템의 효율성과 지능형 유지보수 기술을 융합한 연구를 주도하고 있습니다. 특히 OFDM 및 다중 안테나 시스템에서의 최적의 다중 사용자 서브채널 할당, 다중 접속 채널의 용량 특성 분석, 그리고 에너지 소비 데이터 기반의 스마트 미터링 기술 개발을 핵심 연구 분야로 삼고 있습니다. 또한 AI와 인간의 협업을 통한 예측 정비 기술, 특히 풍력 터빈의 내시경 영상 기반 볼트 고장 진단 등 실생활 응용에 초점을 맞추고 있습니다. 이는 기술적 성능 향상과 함께 인간 중심의 지능형 시스템 설계의 중요성을 강조합니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15This paper investigates the problem of dynamic multiuser subchannel allocation in the downlink of OFDM systems. The assumptions are that the channel model is quasi-static and that the base station has perfect channel information. In traditional TDMA or FDMA systems, resource allocation for each user is non-adaptively fixed, and the water-filling power spectrum is known to be optimal. Since the subchannel allocations among the users are not optimized, a group of users is likely to suffer from poo
The advantages of multiuser communication, where many users are allowed to simultaneously transmit or receive in a common bandwidth, are considered for multiple-antenna systems in a high signal-to-noise ratio (SNR) regime. Assuming channel state information at receiver (CSIR) to be available, the ergodic capacity is characterized for both unbiased and biased channels, and the quantitative capacity gain of a multiple-antenna multiuser system is analyzed for multiple-access channels. For highly bi
Although promising results of high-performance AI algorithms have been reported in recent predictive maintenance researches, most of the existing studies merely deal with AI-only solutions and do not consider the interaction between humans and AI. In this study, we explicitly focus on the benefits of interactions where a human inspector is assisted by AI solutions. A case study is conducted for predictive maintenance of wind farms, where endoscopic images were used for bearing fault detection. T
AMI has been gradually replacing conventional meters because newer models can acquire more informative energy consumption data. The additional information has enabled significant advances in many fields, including energy disaggregation, energy consumption pattern analysis and prediction, demand response, and user segmentation. However, the quality of AMI data varies significantly across publicly available datasets, and low sampling rates and numbers of houses monitored seriously limit practical
Internet-connected devices, especially mobile devices such as smartphones, have become widely accessible in the past decade. Interaction with such devices has evolved into frequent and short-duration usage, and this phenomenon has resulted in a pervasive popularity of casual games in the game sector. On the other hand, development of casual games has become easier than ever as a result of the advancement of development tools. With the resulting fierce competition, now both acquisition and retent
This paper considers the optimal uplink transmission strategy that achieves the sum-capacity in a multiuser multi-antenna wireless system. Assuming an independent identically distributed block-fading model with transmitter channel side information, beamforming for each remote user is shown to be necessary for achieving sum-capacity when there is a large number of users in the system. This result stands even in the case where each user is equipped with a large number of transmit antennas, and it
Energy disaggregation, or nonintrusive load monitoring (NILM), is a technology for separating a household’s aggregate electricity consumption information. Although this technology was developed in 1992, its practical usage and mass deployment have been rather limited, possibly because the commonly used datasets are not adequate for NILM research. In this study, we report the findings from a newly collected dataset that contains 10 Hz sampling data for 58 houses. The dataset not only contains the
In this paper, the ergodic capacity region of multi-antenna multiple-access channels is derived, and the quantitative capacity gains of multiuser communication systems are investigated. In many multi-antenna communication scenarios, the ergodic capacity of multiuser systems, where many users are allowed to simultaneously transmit or receive in a common bandwidth, is shown to be significantly larger than that of single user systems.
Multiple-input multiple-output (MIMO) flat-fading channels with channel state information available at the receiver and channel state distribution available at the transmitter are considered. The ergodic capacity-achieving covariance matrix (ECACM) under an average input power constraint is shown to be not unique in general, and three sufficient conditions for the uniqueness are derived. Then, the structure of ECACM is characterized for certain classes of MIMO channels including the following cl
Previous research has shown that the capacity of a multiple antenna system grows linearly with increasing number of antennas for rich-scattering environments. However, this is not true for wireless channels with a small number of independent paths. To overcome this problem, this paper investigates the possibility of exploiting the multiuser dimension with and without channel side information at the transmitter. First, the single user capacity per antenna is shown to converge to zero with increas
We present a performance comparison of two multicarrier modulation schemes (Bingham 1990), orthogonal frequency division multiplexing (OFDM) (Cimini Jr., 1985) and multitone with polyphase filter bank (MPFB), in the presence of frequency offset and delay spread. The bit error rate (BER) for the two systems in an additive white Gaussian noise (AWGN) channel and a two-ray Rayleigh fading channel is evaluated by computer simulation. It is shown that the sensitivity to frequency offset can be reduce
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