• 한국인터넷방송통신학회논문지
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• 제17권5호
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• pp.79-84
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• 2017

본 논문은 다중 경로 다중입력 (Multiple-input multiple-output : MIMO) 채널에서 space alternating generalized expectation-maximization(SAGE) 알고리즘을 이용하여 채널 파라미터 추정 성능을 확인한다. 성능을 비교하기 위해 781 대역의 제주도 측정지역에서의 채널 파라미터로부터 시변 채널 환경 채널 파라미터 추정을 SAGE 알고리즘을 통해 추정하고 원본 데이터와 비교한다. 이를 통해 SAGE 알고리즘의 성능을 확인할 수 있으며 일반적인 파라미터 계산보다 SAGE 알고리즘을 통해 추정하는 것이 지연 확산(Delay Spread), 도래각 확산(Arrive of Angular Spread)이 적어 정확 측면에서 성능이 뛰어나고 안정적이다.

• Journal of Communications and Networks
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• 제17권6호
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• pp.634-646
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• 2015

Assuming perfect channel state information (CSI) at the transmitter and receiver, the optimization problem of maximizing the minimum Euclidean distance between two received signals by a linear precoder is considered for multiple-input multiple-output (MIMO) systems with arbitrary dimensions and arbitraryary quadrature amplitude modulation (QAM) input. A general precoding framework is first presented based on the Gram matrix, which is shown for 2-dimensional (2-D) and 3-dimensional (3-D) MIMO systems when employing the ellipse expanding method (EEM). An extended precoder for high-dimensional MIMO system is proposed following the precoding framework, where the Gram matrix for high-dimensional precoding matrix can be generated through those chosen from 2-D and 3-D results in association with a permutation matrix. A complexity-reduced maximum likelihood detector is also obtained according to the special structure of the proposed precoder. The analytical and numerical results indicate that the proposed precoder outperforms the other precoding schemes in terms of both minimum distance and bit error rate (BER).

• ETRI Journal
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• 제41권5호
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• pp.637-647
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• 2019

Separating highly correlated users can reduce the loss caused by spatial correlation (SC) in multiuser multiple-input multiple-output (MU-MIMO) systems. However, few accurate analyses of the loss caused by SC have been conducted. In this study, we define signal-to-interference-plus-noise ratio (SINR) loss to characterize it in multiuser multiple-input single-output (MU-MISO) systems, and use coefficient of correlation (CoC) to describe the SC between users. A formula is deduced to show the accurate relation between SINR loss and CoC. Based on this relation, we propose a user selection method that utilizes CoC to minimize the average SINR loss of users in massive MU-MISO systems. Simulation results verify the correctness of the relation and show that the proposed user selection method is very effective at reducing the loss caused by SC in massive MU-MISO systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권10호
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• pp.3458-3478
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• 2022

Automatic modulation recognition is the core algorithm in the field of modulation classification in communication systems. Our investigations show that deep learning (DL) based modulation recognition techniques have achieved effective progress for multiple-input multiple-output (MIMO) systems. However, network complexity is always an additional burden for high-accuracy classifications, which makes it impractical. Therefore, in this paper, we propose a low-complexity dimensional interactive lightweight network (DilNet) for MIMO systems. Specifically, the signals received by different antennas are cooperatively input into the network, and the network calculation amount is reduced through the depth-wise separable convolution. A two-dimensional interactive attention (TDIA) module is designed to extract interactive information of different dimensions, and improve the effectiveness of the cooperation features. In addition, the TDIA module ensures low complexity through compressing the convolution dimension, and the computational burden after inserting TDIA is also acceptable. Finally, the network is trained with a penalized statistical entropy loss function. Simulation results show that compared to existing modulation recognition methods, the proposed DilNet dramatically reduces the model complexity. The dimensional interactive lightweight network trained by penalized statistical entropy also performs better for recognition accuracy in MIMO systems.

• 대한전자공학회논문지
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• 제25권8호
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• pp.992-997
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• 1988

A generalized coding algorithm for multiple inputs multiple-valued logic gate based on shadow-casting is proposed. Proposed algorithm can minimize the useless pixels in case the number of inputs is not 2N (N is a natural number). A detailed analysis of advantages of proposed algorithm is presented and its effectiveness is demonstrated in case of three input binary system using inputs of 8*8 data.

• 한국통신학회논문지
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• 제26권12A호
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• pp.2043-2049
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• 2001

In this paper we study the convergence behavior of the least mean fourth(LMF) algorithm where the error raised to the power of four is minimized for a multiple sinusoidal input and Gaussian measurement noise. Here we newly obtain the convergence equation for the sum of the mean of the squared weight errors, which indicates that the transient behavior can differ depending on the relative sizes of the Gaussian noise and the convergence constant. It should be noted that no similar results can be expected from the previous analysis by Walach add Widrow.

• The Journal of the Acoustical Society of Korea
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• 제18권2E호
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• pp.3-9
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• 1999

In this paper we study the convergence behavior of the least mean fourth(LMF) algorithm where the error raised to the power of four is minimized for a multiple sinusoidal input and Gaussian measurement noise. Here we newly obtain the convergence equation for the sum of the mean of the squared weight errors, which indicates that the transient behavior can differ depending on the relative sizes of the Gaussian noise and the convergence constant. It should be noted that no similar results can be expected from the previous analysis by Walach and Widrow/sup [1]/.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.1076-1078
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• 1996

In this paper, we design the robust controller for MIMO system using multiple fuzzy logic controller. Based on the knowledge of system input/output data, we introduce the simple adaptation laws to approximate the decoupling matrix from input channel to output channel. The proposed control algorithm is applied numerical example.

• 한국통신학회논문지
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• 제28권11A호
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• pp.876-882
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• 2003

차세대 무선 통신 시스템에서는 큰 채널 용량 이득을 얻기 위해 다중 송수신 안테나(Multiple Input Multiple Output : MIMO) 시스템을 갖는 공간 다중화(spatial multiplexing) 기술이 사용될 것이다. 다중 송수신 안테나 시스템은 비용과 복잡성을 줄이기 위해 송신 안테나 혹은 수신안테나 중에서 이용 가능한 부집합(subset)의 안테나만을 선택하는 것이 요구될 것이다. 본 논문에서는 다중경로를 가지는 다중 송수신 안테나 시스템에 적합한 안테나 선택 기법을 제안한다. 그리고 제안된 안테나 선택 기법을 사용한 다중 송수신 안테나 시스템의 채널 용량과 사고 확률(outage probability)을 구한다.

• 한국통신학회논문지
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• 제30권5A
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• pp.402-406
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• 2005

본 논문에서는 주파수공간블록부호 (Space Frequency Block Code)를 적용한 다중송수신(Multiple Input Multiple Output)-OFDM(Orthogonal Frequency Division Multiplex) 시스템을 위한 반복복호 기법을 제시한다. 제시된 반복복호 기법은 zero-forcing 알고리즘과 LDPD 부호화 알고리즘을 터보 기법을 바탕으로 상호보완을 할 수 있도록 설계되었다. 시뮬레이션 결과에 의하면 고차원 변조방식을 적용한 MIMO-OFDM 페이딩 채널에서 기존의 시스템과 비교하여 향상된 성능을 확인하였다.