• Information and Communications Magazine
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• v.24 no.5
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• pp.84-97
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• 2007

MIMO 기술은 데이터 전송률을 증대시키고 수신 성능을 향상시킬 수 있는 다중 안테나 기술로써 각광받아왔다. 그러나 단말 크기의 제한으로 인하여 구현에 큰 어려움이 따르게 되었고 이를 해결하기 위해서 하나의 안테나를 갖고 있는 단말간 서로 협력(cooperation) 하여 데이터 전송률을 높이고 수신 성능을 향상시키기 위한 연구가 논의되고 있다. 특히 ad-hoc 이나 mesh 네트워크에서의 다중 홉 기술을 기반으로 단말간 서로 협력하여 채널 용량을 늘리고 수신 성능을 향상시키기 위한 다양한 연구가 진행 중이다. 본 고에서는 다중 홉 중계 기술에 대한 기본적인 개념과 협력 통신 기술, 그리고 IEEE 802.16j 표준화 동향에 대해 살펴본다. 이론적인 채널 용량 분석과 중계(relay)의 목적에 대해 알아보고 중계 기법에 따른 채널 용량을 분석한다. 더 나아가 다중 홉 중계 전송 기법의 성능을 분석하고 다중 홉 지원을 위한 표준화 동향 및 프레임 구조를 알아본다. 마지막으로 다이버시티 이득과 다중화 이득을 얻을 수 있는 협력통신 기술에 대해 살펴본다.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.15 no.10 s.89
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• pp.931-937
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• 2004

This study examines the channel capacity of a multiple antenna system based on OFDM(Othogonal Frequency Division Multiplexing) when there are correlations among received signals in the frequency selective Rayleigh fading. As for a case that two transmitting and two receiving antennas are used, the channel capacity is derived as a function of correlation in a closed-form and the effect on channel capacity is analyzed when the mean value of the of received signal power is identical/ non-identical between the two receiving antennas. Analytical results show that the channel capacity decreases with the correlation coefficient of the received signals, and the decreasing rate is accelerated when the correlation coefficient of the received signals is greater than 0.7. In addition, the channel capacity reaches its peak when the received mean signal power of each branch is identical.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.6C
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• pp.560-569
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• 2005

This paper proposes an algorithm for transmit antenna selection in a multi-input multi-output(MIMO) spatial multiplexing system with per antenna rate control(PARC) and an ordered successive interference cancellation (OSIC) receiver. The active antenna subset is determined at the receiver and conveyed to the transmitter using feedback information on transmission rate per antenna. We propose a serial decision procedure consisting of a successive process that tests whether antenna selection gain exists when the antenna with the lowest pre-processing signal to interference and noise ratio(SINR) is discarded at each stage. Furthermore, we show that 'reverse detection ordering', whereby the signal with the lowest SINR is decoded at each stage of successive decoding, widens the disparities among fractions of the whole capacity allocated to each individual antenna and thus maximizes a gain of antenna selection. Numerical results show that the proposed reverse detection ordering based serial antenna selection approaches the closed-loop MIMO capacity and that it induces a negligible capacity loss compared with the heuristic selection strategy even with considerably reduced complexity.

• Information and Communications Magazine
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• v.32 no.5
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• pp.49-55
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• 2015

본 논문에서는 실제적인 다중 셀 하향링크 네트워크 중 하나인 간섭 브로드캐스트 채널에서 유망한 간섭 정렬 기술인 반복적 간섭 정렬 기술을 소개한다. 또한, 가정하는 네트워크에서 상향링크/하향링크 채널 사이의 채널 상호성을 활용함으로써 다중안테나(MIMO: multiple-input multiple-output) 다중셀 하향링크 네트워크를 위한 개선된 반복적 간섭 정렬 기술을 제안한다. 구체적으로, 제안한 기술은 다중사용자 MIMO 기반 반복적 간섭 정렬 알고리즘을 설계하기 위해 반복적 빔형성과 하향링크 간섭 정렬 이슈를 지능적으로 결합한다. 각 기지국에서는 전처리기를 설계하기 위해 두 개의 순차적인 빔형성 행렬을 사용하는데, 이는 간섭 누수로 불리는 타 셀 기지국으로부터 생성된 셀 간 간섭을 효율적으로 줄일 뿐만 아니라 같은 셀 안에서의 셀 내 간섭을 완벽히 제거가 가능하다. 송신 및 수신 빔형성 행렬은 수렴할 때까지 반복적으로 업데이트된다. 컴퓨터 모의실험을 통해 제안하는 간섭 정렬 기술이 기존 두 가지 반복적 간섭 정렬 기술과 비교하여 더 높은 합 용량을 나타냄을 보인다.

• Information and Communications Magazine
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• v.25 no.5
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• pp.5-13
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• 2008

정보 이론은 최대한 많은 데이터를 매체에 저장하거나 채널을 통해 통신하기 위해 데이터를 정량화하는 응용 수학의 한 분야이다. 1948년 정보이론은 Shannon의 논문에서 발표되었으며 이 논문을 바탕으로 통신, 신호처리, 네트워크에의 데이터 처리 및 전송에 대한 획기적인 발전을 이루었다. 본 논고에서는 정보의 의미와 엔트로피, 채널 용량에 관한 내용을 다루어 정보이론의 기본 개념을 설명할 것이며, 또한 센서네트워크와 중계 채널 그리고 MIMO 시스템과 다른 분야에서 정보이론이 어떻게 적용되는지 그 응용분야에 대해 다뤄보고자 한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.4
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• pp.83-93
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• 2017

In everyday life, the ratio of credit card aspect ratio is 1: 1.56, and A4 printer paper is 1: 1.414, which is relatively balanced golden ratio. In this paper, we show the Fibonacci Golden ratio as a polynomial based on the golden ratio, which is the most balanced and ideal visible ratio, and show that the application of Euler and symmetric jacket polynomial is related to BPSK and QPSK constellation. As a proof method, we have derived Fibonacci Golden and Galois field element polynomials. Then mathematically, We have newly derived a golden jacket code that can be used to generate an appropriate code with orthogonal properties and can simply be used for inverse calculation. We also obtained a channel capacity according to the channel correlation change using a block jacket matrix in a MIMO mobile communication.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.11
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• pp.976-978
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• 2013

In this paper, we address data transmission systems using multiple linear polarized antennas over pure line-of-sight (LoS) wireless channels. We investigate the impact of antenna angles from the perspective of both channel capacity and error performance. We show that the optimal angles from the two perspectives are different, and evaluate the performance of the two optimal angles.

• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2003.11a
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• pp.43-46
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• 2003

This paper presents capacity characteristics of the indoor LOS(Line-Of-Sight) propagation channel for MIMO system at 5GHz. The distance between antenna elements, their moving path, and number of transmitting and receiving antennas can be determined by wanted eigen-vlaue, and channel capacity of the MIMO communication channel using only reliable simulation without measurements. The simulation uses 3D Ray tracing and patch scattering model to which electromagnetic material constants are applied. As distance between antenna elements increases, distribution of the eigen-value show a tendency to decrease, but channel capacity increases in LOS environment. However, despite of short distance between antenna elements, large value of channel capacity is obtained in positions which have high AS. When the position of receiver antennas are shifted, channel capacity hardly changed, and as number of antenna elements increases, channel capacity also increases regularly.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.6A
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• pp.551-557
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• 2011

We investigate lattice-reduction-aided precoding techniques using Look-Up table (LUT) for multi-user multiple-input multiple-output(MIMO) systems. Lattice-reduction-aided vector perturbation (VP) gives large sum capacity with low encoding complexity. Nevertheless lattice-reduction process based on the LLL-Algorithm still requires high computational complexity since it involves several iterations of size reduction and column vector exchange. In this paper, we apply the LUT-aided lattice reduction on VP and propose a scheme to generate the LUT efficiently. Simulation results show that a proposed scheme has similar orthogonality defect and Bit-Error-Rate(BER) even with lower memory size.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.12C
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• pp.1164-1174
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• 2007

Antenna selection based MIMO schedulers are proposed to achieve the optimal performance with low complexity in uplink multiuser MIMO/FDD system. In this paper, three heuristic schedulers are proposed to approach the optimal performance which is achieved by the optimal Brute-Force Scheduler. Two search methods called sub-set and full-set way are also discussed to set up the antenna channels to be the candidates of the scheduler. Simulation results show that the sum rate and BER performance of the proposed CSS and SOAS schemes are about the same to that of the brute-force scheduler with affordable complexity, while RC-SOAS with further reduced complexity achieves almost the optimal performance in the case of small number of antennas. Moreover, the complexity can be additionally reduced by the sub-set search method when the number of transmit and receive antennas are 2 respectively, which is applicable in the realistic systems.