• 제목/요약/키워드: Feedback Quantization

검색결과 57건 처리시간 0.021초

제한된 궤환 채널 기반 MIMO 간섭 채널에서의 순서화 된 간섭 정렬 기법 설계 (Ordered Interference Alignment in MIMO Interference Channel with Limited Feedback)

  • 조성윤;양민호;양장훈;김동구
    • 한국통신학회논문지
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    • 제37B권10호
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    • pp.938-946
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    • 2012
  • 간섭정렬(Interference Alignment : IA)은 높은 신호 대 잡음 비(Signal to Noise Ratio : SNR)에서 다중 사용자 간섭 채널에서 도달 가능한 최대 자유도를 얻을 수 있는 데이터 전송 기법이다. 그러나 대부분의 간섭정렬에 대한 연구는 네트워크 내의 모든 채널의 정보를 송, 수신단에서 완벽하게 알아야 하는 비현실적인 가정에 기반을 둔다. 본 논문에서는 K 사용자 다중안테나 간섭채널에서 간섭정렬을 위한 채널 상태 정보 (Channel-State Information : CSI)의 궤환 량을 효율적으로 감소시킬 수 있는 CSI 궤환 구조를 제안한다. 기존의 IA기법은 K의 2차함수의 형태로 궤환 오버헤드가 증가하는 반면, 제안된 궤환 구조는 송, 수신 단 사이에서 계산된 IA 송신기의 순차적인 교환을 통하여 K에 선형적으로 증가하는 오버헤드를 갖는다. 또한, 주어진 궤환 구조 하에서 제한된 궤환 채널에 의한 잔여 간섭의 세기를 분석하였으며, 이 때 발생하는 잔여 간섭을 최소화 할 수 있는 IA 조건, 즉, 주어진 채널환경에 따라 각 수신단에서 잔여 간섭을 최소화할 수 있는 최적의 IA 쌍을 순차적으로 결정하는 알고리즘을 제안한다.

Back-up Control of Truck-Trailer Vehicles with Practical Constraints: Computing Time Delay and Quantization

  • Kim, Youngouk;Park, Jinho;Paik, Joonki
    • IEIE Transactions on Smart Processing and Computing
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    • 제4권6호
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    • pp.391-402
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    • 2015
  • In this paper, we present implementation of backward movement control of truck-trailer vehicles using a fuzzy mode-based control scheme considering practical constraints and computational overhead. We propose a fuzzy feedback controller where output is predicted with the delay of a unit sampling period. Analysis and design of the proposed controller is very easy, because it is synchronized with sampling time. Stability analysis is also possible when quantization exists in the implementation of fuzzy control architectures, and we show that if the trivial solution of the fuzzy control system without quantization is asymptotically stable, then the solutions of the fuzzy control system with quantization are uniformly ultimately bounded. Experimental results using a toy truck show that the proposed control system outperforms a conventional system.

Dynamic Element Matching을 적용한 Sigma Delta ADC에 관한 연구 (A Study on Sigma Delta ADC using Dynamic Element Matching)

  • 김화영;유장우;이용희;성만영;김규태
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2004년도 하계학술대회 논문집 Vol.5 No.2
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    • pp.1222-1225
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    • 2004
  • This paper presents multibit Sigma-Delta ADC using noise-shaped dynamic element matching(DEM). 5-bit flash ADC for multibit quantization in Sigma Delta modulator offers the following advantages such as lower quantization noise, more accurate white-noise level and more stability over single quantization. For the feedback paths consisting of DAC, the DAC element should have a high matching requirement in order to maintain the linearity performance which can be obtained by the modulator with a multibit quantizer. The DEM algorithm is implemented in such a way as to minimize additional delay within the feedback loop of the modulator Using this algorithm, distortion spectra from DAC linearity errors are shaped. Sigma Delta ADC achieves 82dB signal to noise ratio over 615H7z bandwidth, and 62mW power dissipation at a sampling frequency of 19.6MHz. This Sigma Delta ADC is designed to use 0.25um CMOS technology with 2.5V supply voltage and verified by HSPICE simulation.

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Low-Complexity MIMO Detection Algorithm with Adaptive Interference Mitigation in DL MU-MIMO Systems with Quantization Error

  • Park, Jangyong;Kim, Minjoon;Kim, Hyunsub;Jung, Yunho;Kim, Jaeseok
    • 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.

거대 다중 안테나 시스템을 위한 넌컨벡스 압축센싱 기반채널 정보 피드백 기법 (Channel State Information Feedback Scheme Based on Non-Convex Compressed Sensing for Massive MIMO Systems)

  • 김정현;김인선;박진수;송홍엽;한성우
    • 한국통신학회논문지
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    • 제40권4호
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    • pp.628-636
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    • 2015
  • 본 논문은 거대 다중 안테나 시스템을 위한 넌컨백스 압축센싱 기반 채널 상태 정보 피드백 기법을 제안한다. 제안하는 피드백 기법은 랜덤 백터 양자화 방식과 결합하여, 피드백 양을 줄이면서 송신단에서 정확한 채널 정보를 획득할 수 있게 해준다. 또한, 측정값이 부정확하고 불완전하더라도 기존의 컨백스 압축센싱 기반 채널 상태정보 피드백 기법보다 더 적은 수의 측정값만으로 채널 상태 정보를 복구할 수 있다. 실험을 통해 제안하는 넌컨백스 압축센싱 기반 피드백 기법이 기존의 압축센싱 기반 피드백 기법과 랜덤 백터 양자화 피드백 기법에 비해 같은 피드백 양으로 더 높은 전송률을 제공함을 확인하였다.

시변 다중입출력 방송 채널을 위한 채널예측이 적용된 협력 빔형성 시스템 (Coordinated Beamforming Systems with Channel Prediction in Time-varying MIMO Broadcast Channel)

  • 김진;강진환;김상효
    • 한국통신학회논문지
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    • 제36권5C호
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    • pp.302-308
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    • 2011
  • 본 논문에서는 시변 다중 입출력 (multiple-input multiple-output) 방송(broadcast) 채널에서 피드백 양자화와 지연을 고려한 협력 빔형성 (coordinated beamforming: CBF) 시스템을 제안한다. 다중 데이터 스트림을 전송하는 CBF 시스템에 피드백 양자화 기법을 적용하고, 구현 복잡도와 피드백 오버헤드 측면에서 효율적인 CBF 시스템을 제시한다. 또한, 실제적인 무선통신 환경에서 발생하는 피드백 지연에 의한 오류를 최소화하기 위하여 사용자 단말에 선형 채널 예측기를 적용한다. 선형 예측기로 Wiener 필터를 이용하여 피드백 지연시간 후의 미래 채널을 예측하교 이를 토대로 피드백 정보를 생성함으로써 지연된 피드백 정보를 이용하는 CBF 시스템의 성능을 향상시킨다. 모의실험을 통해 다양한 도플러 (Doppler) 주파수의 MIMO 방송 채널에서 양자화와 Wiener 필터를 적용한 CBF 시스템의 향상된 심볼 오율과 합 전송률 성능을 확인한다.

Intelligent Switching Control of Pneumatic Cylinders by Learning Vector Quantization Neural Network

  • Ahn KyoungKwan;Lee ByungRyong
    • Journal of Mechanical Science and Technology
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    • 제19권2호
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    • pp.529-539
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    • 2005
  • The development of a fast, accurate, and inexpensive position-controlled pneumatic actuator that may be applied to various practical positioning applications with various external loads is described in this paper. A novel modified pulse-width modulation (MPWM) valve pulsing algorithm allows on/off solenoid valves to be used in place of costly servo valves. A comparison between the system response of the standard PWM technique and that of the modified PWM technique shows that the performance of the proposed technique was significantly increased. A state-feedback controller with position, velocity and acceleration feedback was successfully implemented as a continuous controller. A switching algorithm for control parameters using a learning vector quantization neural network (LVQNN) has newly proposed, which classifies the external load of the pneumatic actuator. The effectiveness of this proposed control algorithm with smooth switching control has been demonstrated through experiments with various external loads.

Terminal-based Dynamic Clustering Algorithm in Multi-Cell Cellular System

  • Ni, Jiqing;Fei, Zesong;Xing, Chengwen;Zhao, Di;Kuang, Jingming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권9호
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    • pp.2086-2097
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    • 2012
  • A terminal-based dynamic clustering algorithm is proposed in a multi-cell scenario, where the user could select the cooperative BSs from the predetermined static base stations (BSs) set based on dynamic channel condition. First, the user transmission rate is derived based on linear precoding and per-cell feedback scheme. Then, the dynamic clustering algorithm can be implemented based on two criteria: (a) the transmission rate should meet the user requirement for quality of service (QoS); (b) the rate increment exceeds the predetermined constant threshold. By adopting random vector quantization (RVQ), the optimized number of cooperative BSs and the corresponding channel conditions are presented respectively. Numerical results are given and show that the performance of the proposed method can improve the system resources utilization effectively.

Novel SINR-Based User Selection for an MU-MIMO System with Limited Feedback

  • Kum, Donghyun;Kang, Daegeun;Choi, Seungwon
    • ETRI Journal
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    • 제36권1호
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    • pp.62-68
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    • 2014
  • This paper presents a novel user selection method based on the signal-to-interference-plus-noise ratio (SINR), which is approximated using limited feedback data at the base stations (BSs) of multiple user multiple-input multiple-output (MU-MIMO) systems. In the proposed system, the codebook vector index, the quantization error obtained from the correlation between the measured channel and the codebook vector, and the measured value of the largest singular value are fed back from each user to the BS. The proposed method not only generates precoding vectors that are orthogonal to the precoding vectors of the previously selected users and are highly correlated with the codebook vector of each user but also adopts the quantization error in approximating the SINR, which eventually provides a significantly more accurate SINR than the conventional SINR-based user selection techniques. Computer simulations show that the proposed method enhances the sum rate of the conventional SINR-based methods by at least 2.4 (2.62) bps/Hz when the number of transmit antennas and number of receive antennas per user terminal is 4 and 1(2), respectively, with 100 candidate users and an SNR of 30 dB.

MIMO Precoding in 802.16e WiMAX

  • Li, Qinghua;Lin, Xintian Eddie;Zhang, Jianzhong (Charlie)
    • Journal of Communications and Networks
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    • 제9권2호
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    • pp.141-149
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    • 2007
  • Multiple-input multiple-output (MIMO) transmit pre-coding/beamforming can significantly improve system spectral efficiency. However, several obstacles prevent precoding from wide deployment in early wireless networks: The significant feedback overhead, performance degradation due to feedback delay, and the large storage requirement at the mobile devices. In this paper, we propose a precoding method that addresses these issues. In this approach, only 3 or 6 bits feedback is needed to select a precoding matrix from a codebook. There are fifteen codebooks, each corresponding to a unique combination of antenna configuration (up to 4 antennas) and codebook size. Small codebooks are prestored and large codebooks are efficiently computed from the prestored codebook, modified Hochwald method and Householder reflection. Finally, the feedback delay is compensated by channel prediction. The scheme is validated by simulations and we have observed significant gains comparing to space-time coding and antenna selection. This solution was adopted as a part of the IEEE 802.16e specification in 2005.