• 한국통신학회논문지
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• 제34권6A호
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• pp.494-499
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• 2009

본 논문에서는 하향링크 다중 사용자 Multiple Input Multiple Output (MIMO) 채널 환경에서 시스템 용량을 최대화시키기 위한 효과적인 사용자 선택 기법에 대해서 논의한다. 본 논문에서 제안하는 방법은 사용자 채널 파워와 채널 간의 각도를 이용하여 최적의 사용자 집단을 선택하는 새로운 방법이다. 이 방법은 SUS 방법에 비해 허용 상관도 값을 별도로 생각하지 않아도 되기 때문에 간단한 방법이며, 시스템 성능을 최대화시키는 사용자들을 찾는 방법이기 때문에 향상된 성능을 보인다.

• ETRI Journal
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• 제41권3호
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• pp.298-307
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• 2019

This paper investigates the use of the inverse-free sparse Bayesian learning (SBL) approach for peak-to-average power ratio (PAPR) reduction in orthogonal frequency-division multiplexing (OFDM)-based multiuser massive multiple-input multiple-output (MIMO) systems. The Bayesian inference method employs a truncated Gaussian mixture prior for the sought-after low-PAPR signal. To learn the prior signal, associated hyperparameters and underlying statistical parameters, we use the variational expectation-maximization (EM) iterative algorithm. The matrix inversion involved in the expectation step (E-step) is averted by invoking a relaxed evidence lower bound (relaxed-ELBO). The resulting inverse-free SBL algorithm has a much lower complexity than the standard SBL algorithm. Numerical experiments confirm the substantial improvement over existing methods in terms of PAPR reduction for different MIMO configurations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권1호
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• pp.319-333
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• 2022

In order to enhance system energy efficiency, bidirectional link resource allocation strategy in GFDM-based multiuser SWIPT systems is proposed. In the downlink channel, each SWIPT user applies power splitting (PS) receiver structure in information decoding (ID) and non-linear energy harvesting (EH). In the uplink channel, information transmission power is originated from the harvested energy. An optimization problem is constructed to maximize weighted sum ID achievable rates in the downlink and uplink channels via bidirectional link power allocation as well as subcarriers and subsymbols scheduling. To solve this non-convex optimization problem, Lagrange duality method, sub-gradient-based method and greedy algorithm are adopted respectively. Simulation results show that the proposed strategy is superior to the fixed subcarrier scheme regardless of the weighting coefficients. It is superior to the heuristic algorithm in larger weighting coefficients scenario.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -1
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• pp.397-400
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• 2002

In this paper, a novel noncoherent multiuser detector with diversity reception for a differentially encoded DS/CDMA signal in a frequency-selective Rayleigh fading channel is proposed. The proposed receiver employs multipath decorrelator and decision feedback differential detector (DFDD) with diversity reception. DFDD performs differential encoding and diversity combining. The performance is obtained by analysis and simulation and it is sown that the proposed receiver outperforms conventional differential receiver with slight increase of complexity.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(1)
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• pp.201-204
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• 2000

In this paper, a new multiuser detector combining multicarrier and decorrelating detection schemes is proposed and analyzed in a frequency selective Rayleigh fading channel. The bit error probability is derived and compared with that of the conventional decorrelating detector. From the numerical results, it is shown that the proposed detector achieves better BER performance and lower computational complexity than those of the conventional decorrelating detector.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.218-220
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• 2004

Orthogonal frequency division multiplexing(OFDM) is one of the most promising technique for next generation wireless broadband communication systems. In this paper, we propose a new bit allocation algorithm in multiuser OFDM. The proposed algorithm is derived from the geometric progression of the additional transmit power of subcarriers and the arithmetic-geometric means inequality. The simulation shows that this algorithm has similar performance to the conventional adaptive bit allocation algorithm and lower computational complexity than the existing algorithms.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2006년도 추계학술대회
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• pp.201-204
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• 2006

In this paper, we propose efficient scheduling strategy for Multi-user MIMO systems that find advantageous trade off solution between multiuser diversity and spatial diversity, spatial multiplexing technique. Specifically, we suggest P-SFS(Pseudo-SNR Fair scheduling) algorithm that consider throughput and fairness problem. also we propose channel aware Antenna deployment that decide how to use assigned multiple antennas by the information of each user's channel condition.

• 한국통신학회논문지
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• 제28권1C호
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• pp.32-36
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• 2003

Based on oriented minimum output energy (OMOE) criterion, a new blind multiuser receiving scheme of linear minimum mean square error (MMSE) detector is proposed, then an adaptive algorithm for implementing the new scheme is given by the steepest descent method, and the convergence property of the algorithm is analyzed in this paper. The numerical results demonstrate the performance of the proposed scheme.

• 한국통신학회논문지
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• 제27권4B호
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• pp.298-307
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• 2002

본 논문에서는 향후 이동 통신 시스템의 표준안으로 고려되는 WCDMA의 순방향 링크에서 성능 향상된 시공간 다중 사용자 수신기를 제안하고 성능을 분석한다. 제안한 수신기는, 이동 통신 환경에서 다중 경로 및 다중 사용자 간섭에 대한 분석과 시공간 다이버시티에 대한 고찰을 통해 오류 확률을 개선하고자 하는 기법으로 조건부 적응 시공간 간섭 제거기 (Constrained Adaptive Space-time Interference Canceller; C-ASTIC) 라 부른다. 논문에서는 비교를 위해 단일 사용자 및 다중 사용자 WCDMA 시스템에 대한 수식적인 성능을 분석하여 결과에 반영하였다. 또한, 제안한 C-ASTIC를 기존의 단일 안테나 간섭 제거 시스템, 최대 결합비 RAKE 수신기, 그리고 시공간 전송 다이버시티 결합 RAKE 수신기와 컴퓨터 시뮬레이션을 통해 그 성능을 비교하였다. 마지막으로 본 논문에서는 멀티미디어 환경에서의 유용성을 검증하기 위해 다중 전송률 시스템에서의 성능을 실험하였다. 결과로부터 C-ASTIC가 50% 이상의 시스템 용량 환경에서 $10^{-3}$의 BER에서 4 dB 이상의 성능 이득을 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권10호
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• pp.2601-2619
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• 2012

A differencing multiuser detection (MUD) method is proposed for multiple-input multiple-output (MIMO) direct sequence (DS) ultra-wideband (UWB) system to cope with the multiple access interference (MAI) and the computational efficiency in Nakagami fading channel. The method, which combines a multiuser-interference-cancellation-based decision feedback equalizer using error feedback filter (MIC DFE-EFF), a coefficient optimization algorithm (COA) and a differencing algorithm (DA), is termed as MIC DFE-EFF (COA) with DA for short. In the paper, the proposed MUD method is illuminated from the rudimental MIC DFE-EFF to the advanced MIC DFE-EFF (COA) with DA step by step. Firstly, the MIC DFE-EFF system performance is analyzed by minimum mean square error criterion. Secondly, the COA is investigated for optimization of each filter coefficient. Finally, the DA is introduced to reduce the computational complexity while sacrificing little performance. Simulations show a significant performance gain can be achieved by using the MIC DFE-EFF (COA) with DA detector. The proposed MIC DFE-EFF (COA) with DA improves both bit error rate performance and computational efficiency relative to DFE, DFE-EFF, parallel interference cancellation (PIC), MIC DFE-EFF and MIC DFE-EFF with DA, though it sacrifices little system performance, compared with MIC DFE-EFF (COA) without DA.