• Journal of Communications and Networks
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• 제18권2호
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• pp.210-217
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• 2016

In this paper, we propose a low complexity multiple-input multiple-output (MIMO) detection algorithm with adaptive interference mitigation in downlink multiuser MIMO (DL MU-MIMO) systems with quantization error of the channel state information (CSI) feedback. In DL MU-MIMO systems using the imperfect precoding matrix caused by quantization error of the CSI feedback, the station receives the desired signal as well as the residual interference signal. Therefore, a complexMIMO detection algorithm with interference mitigation is required for mitigating the residual interference. To reduce the computational complexity, we propose a MIMO detection algorithm with adaptive interference mitigation. The proposed algorithm adaptively mitigates the residual interference by using the maximum likelihood detection (MLD) error criterion (MEC). We derive a theoretical MEC by using the MLD error condition and a practical MEC by approximating the theoretical MEC. In conclusion, the proposed algorithm adaptively performs interference mitigation when satisfying the practical MEC. Simulation results show that the proposed algorithm reduces the computational complexity and has the same performance, compared to the generalized sphere decoder, which always performs interference mitigation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권2호
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• pp.635-656
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• 2019

In this paper, we investigate the degrees of freedom (DoF) of a multi-cell multi-user multiple-input multiple-output (MIMO) interference broadcast channel (IBC) with non-cooperation distributed base stations (BS), where each BS serves users of its corresponding cell. When all BSs simultaneously transmit their own signals over the same frequency band in the MIMO IBC, the edge users in each cell will suffer the inter-cell interference (ICI) and inter-user interference (IUI) signals. In order to eliminate the ICI and IUI signals, a distributed space time interference alignment (DSTIA) approach is proposed where each BS has only limited access to distributed moderately-delay channel state information at the transmitter (CSIT). It is shown that the DSTIA scheme can obtain the appreciate DoF gains. In addition, the DoF upper bound is asymptotically achievable as the number of antenna at each BS increases. It is shown that the DSTIA method can get DoF gains over other interference alignment schemes with delayed CSIT in literature. Moreover, the DSTIA method can attain higher DoFs than the IA schemes with global CSIT for certain antenna configurations.

• 한국위성정보통신학회논문지
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• 제8권4호
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• pp.47-52
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• 2013

본 논문에서는, 기존에 연구되었던 간섭정렬 기법들은 주로 레일레이 채널 환경에서 분석이 이뤄졌다. 간섭정렬 기법은 크게 Iterative-method와 Linear-method로 구분되어 지며, Iterative-method는 반복이라는 제약이 있지만 채널정보가 적게 드는 장점이 있다. Linear-method은 광역 채널 정보(global channel info)가 필요하지만 반복에서 자유로우며 비교적 성능이 우수하다. 이 논문에서는 기존의 간섭정렬 기법들을 실외 환경의 레일리에 패이딩 채널과 실내 환경인 IEEE 802.11n 채널에 적용함으로써 성능을 비교하고자 한다.

• 한국인터넷방송통신학회논문지
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• 제13권3호
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• pp.1-7
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• 2013

다양한 간섭환경에서 MIMO 기반 가시광 무선 통신 시스템의 성능 분석을 위해서 LED 패널을 고정하고, PD를 가진 단말기를 움직여 모의실험을 수행하으며 MIMO 기술을 기반으로 하여 외부광에 의한 간섭이 통신 채널 품질 변화에 미치는 영향을 분석하였다. 또한 채널에서의 전송시간 지연에 의한 왜곡은 등화기를 사용하여 보상해 주어야 하며, 특히 데이터 전송 속도가 고속이 될수록 등화기의 사용이 절대적으로 필요하게 된다. 따라서 본 논문에서는 VLC 시스템의 변조방식에 따라 채널 등화를 이용한 BER성능을 분석하였다.

• 한국통신학회논문지
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• 제29권11C호
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• pp.1564-1572
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• 2004

WPAN의 통신방식으로 표준화 작업이 진행 중에 있는 U(Ultra Wide Band)는 기존 시스템과 간섭으로 인하여 전송 전력에 큰 제약이 따른다. 본 논문에서는 이러한 문제점을 극복하기 위한 방안으로 여러 개의 송수신 안테나 구성에 의한 MIMO(Multi-Input Multi-Output) 채널을 형성하고 이에 따른 성능을 분석한다. 또한 MIMO 채널 형성 시 발생되는 안테나 사이의 간섭을 시뮬레이션을 통하여 획득하고 이것이 시스템에 미치는 영향을 분석한다. 본 논문에서 제안하는 UWB 시스템은 다중경로로 인한 신호간의 간섭 및 다중 사용자로 인한 간섭을 상쇄시키는 최소제곱(least square) 방식과 ML 검출기(Maximum Likelihood Detector) 구조를 갖는다.

• Journal of Communications and Networks
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• 제16권1호
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• pp.18-25
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• 2014

In this paper, we propose a codebook-based interference alignment (IA) scheme in the constant multiple-input multiple-output (MIMO) interference channel especially for the uplink scenario. In our proposed scheme, we assume cooperation among base stations (BSs) through reliable backhaul links so that global channel knowledge is available for all BSs, which enables BS to compute he transmit precoder and inform its quantized index to the associated user via limited rate feedback link. We present an upper bound on the rate loss of the proposed scheme and derive the scaling law of the feedback load to maintain a constant rate loss relative to IA with perfect channel knowledge. Considering the impact of overhead due to training, cooperation, and feedback, we address the effective degrees of freedom (DOF) of the proposed scheme and derive the maximization of the effective DOF. From simulation results, we verify our analysis on the scaling law to preserve the multiplexing gain and confirm that the proposed scheme is more effective than the conventional IA scheme in terms of the effective DOF.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권1호
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• pp.168-186
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• 2016

In this paper, we investigate the degrees of freedom (DoF) of a two-cluster multiple-input multiple-output (MIMO) multiway relay interference channel (mRIC), where there are two relays and two users per cluster. In this channel, users within the same cluster exchange messages among themselves with the help of two relays.We first obtain the DoF upper bound of the considered MIMO mRIC based on cut-set bound. Then, we propose a novel transmission strategy, blind interference neutralization (BIN), to approach the DoF upper bound. This new method utilizes the overheard information at two relays and focuses on the beamforming matrix designs at two relays so that the channel state information (CSI) at users is not required. Through theoretical analysis and numerical simulations, we show that the DoF upper bound can be obtained by using the BIN scheme. From simulation results, we show that the proposed BIN scheme can provide significant performance gain over the conventional time division multiple access (TDMA) scheme in terms of DoF. In addition, we show that the BIN scheme is a superior approach to the existing signal space alignment (SSA) schemes for the considered mRIC.

• ETRI Journal
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• 제31권4호
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• pp.472-474
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• 2009

In this letter, an ordered successive interference cancellation (OSIC) scheme is applied for multiple-input multiple-output (MIMO) detection in ultra-wideband (UWB) communication systems. The error rate expression of an OSIC receiver on a log-normal multipath fading channel is theoretically derived in a closed form solution. Its bit error rate performance is analytically compared with that of a zero forcing receiver in the UWB MIMO detection scheme followed by RAKE combining.

• 한국통신학회논문지
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• 제32권2C호
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• pp.95-112
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• 2007

다중 안테나 기술의 공간 다중화 방식은 다수의 송신 안테나가 서로 다른 데이터를 전송함으로써 시스템의 동일한 대역폭을 이용하여 높은 데이터 전송률을 제공하는 기술로서, 심볼간 간섭 (ISI : Inter-Symbol Interference)과 주파수 선택적 페이딩 (Frequency Selective Fading)에 강인한 OFDM (Orthogonal Frequency Division Multiplexing)과 함께 사용된다. 하지만, OFDM은 고속 이동환경에서 서브 캐리어간의 직교성이 유지되지 않아 서브캐리어간의 간섭 (ICI : Inter-Carrier Interference)으로 인하여 시스템의 성능 열화가 발생한다. 본 논문에서는 ICI와 다중 안테나간의 상관도에 의한 CAI (Co-Antenna Interference)의 발생 원인과 그에 따른 성능 열화를 해석적으로 분석하고, 고속 이동환경에서 MIMO-OFDM 수신기의 QoS를 만족시키기 위한 ICI의 제거 방법으로 저복잡도의 HIC와 데이터 전송률을 저하시키지 않는 CIR (Channel Impuse Response) 추정 방법을 제안한다. 그리고 SCM-E Sub-urban Macro MIMO 채널에서의 모의 실험을 통해, ICI와 CAI에 의한 성능 열화 분석 결과와 모의 실험 결과가 일치하는 것을 검증하고, 고속 이동환경에서 HIC를 적용한 MIMO-OFDM 시스템의 성능이 향상되는 것을 보인다.

• Journal of Communications and Networks
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• 제16권1호
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• pp.1-9
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• 2014

Block diagonalization (BD) has been proposed as a simple and effective technique in multiuser multiple-input multiple-output (MU-MIMO) broadcast channels. However, when channel state information (CSI) knowledge is limited at the transmitter, the performance of the BD may be degraded because inter-user interference cannot be completely eliminated. In this paper, we propose an efficient CSI quantization technique for BD precoded systems with limited feedback where users supported by a base station are selected by dynamic scheduling. First, we express the received signal-to-interference-plus-noise ratio (SINR) when multiple data streams are transmitted to the user, and derive a lower bound expression of the expected received SINR at each user. Then, based on this measure, each user determines its quantized CSI feedback information which maximizes the derived expected SINR, which comprises both the channel direction and the amplitude information. From simulations, we confirm that the proposed SINR-based channel quantization scheme achieves a significant sum rate gain over the conventional method in practical MU-MIMO systems.