• Title/Summary/Keyword: Multiple Input-Output System

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Optimal Bit Allocation Adaptive Modulation Algorithm for MIMO System

  • Fan, Lingyan;He, Chen;Feng, Guorui
    • Journal of Communications and Networks
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    • v.9 no.2
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    • pp.136-140
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    • 2007
  • In this paper, an adaptive minimum transmit power modulation scheme under constant data rate and fixed bit error rate (BER) for the multiple-input multiple-output (MIMO) system is proposed. It adjusts the modulation order and allocates the transmit power to each spatial sub-channel when meeting the user's requirements at the cost of minimum transmission power. Compared to the other algorithm, it can obtain good performance with lower computational complexity and can be applied to the wireless communication system. Computer simulation results present the efficiency of the proposed scheme. And its performance under different channel condition has been compared with the other algorithm.

Decoupling Control of the Modified Arago System Using Cross Compensator with Gain Scheduler Structure (게인 스케줄러 구조의 교차 보상기를 사용한 변형 아라고시스템의 비결합 제어)

  • Choi, Goon-Ho
    • Journal of the Semiconductor & Display Technology
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    • v.19 no.4
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    • pp.105-111
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    • 2020
  • In most multiple input/output systems, one input affects two or more different outputs. Therefore, there are many inconveniences in using the actual system. In order to solve this problem, a controller that makes an input signal and an output correspond 1:1 is called a decoupling controller. In this paper, I try to implement a relatively simple decoupling controller using a cross-compensator, that is, a compensator that takes an uncorresponding output as an input value. And this cross-compensator has a gain scheduler structure in order to increase the performance. In addition, this system is designed with a distributed control structure using CAN communication, so that it can be manufactured and operated in an easier way when implementing an actual experimental system. The proposed structure is applied to the modified new Arago's disk system and tested, and through this, the effectiveness is confirmed and reported.

Development of Actuator Monitoring Technique through Decoupled Input-Output (입출력 비연성을 이용한 액추에이터 모니터링 기술 개발)

  • Koh, Bong-Hwan;Li, Ziling;Dharap, Prasad;Nagarajah, Satish;Phan, Minh Q.
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2005.11a
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    • pp.301-305
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    • 2005
  • This paper introduces a novel technique to detect and isolate the failures of multiple actuators connected to a system. Failure of actuator considered in this study could be any type of erroneous input that is different from commanded one. The interaction matrix technique allows the development of input-output equations that are only influenced by one target input. These input-output equations serve as an effective toot to monitor the integrity of each actuator regardless of the status of the other actuators. The method is capable of real-time actuator failure detection and isolation under any type of input excitation. The laboratory experiment using 8-bay NASA truss structure verifies the feasibility of the proposed method.

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Energy-Efficient Antenna Selection in Green MIMO Relaying Communication Systems

  • Qian, Kun;Wang, Wen-Qin
    • Journal of Communications and Networks
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    • v.18 no.3
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    • pp.320-326
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    • 2016
  • In existing literature on multiple-input multiple-output (MIMO) relaying communication systems, antenna selection is often implemented by maximizing the channel capacity or the output single-to-noise ratio (SNR). In this paper, we propose an energy-efficient low-complexity antenna selection scheme for MIMO relaying communication systems. The proposed algorithm is based on beamforming and maximizing the Frobenius norm to jointly optimize the transmit power, number of active antennas, and antenna subsets at the source, relaying and destination. We maximize the energy efficiency between the link of source to relay and the link of relay to destination to obtain the maximum energy efficiency of the system, subject to the SNR constraint. Compared to existing antenna selection methods forMIMO relaying communication systems, simulation results demonstrate that the proposed method can save more power in term of energy efficiency, while having lower computational complexity.

A Consideration on the Identifiability for Blind Signal Separation in MIMO LTI Channels (MIMO LTI 채널에서의 블라인드 신호분리시의 식별성에 대한 고찰)

  • Kwon, Soon-Man;Kim, Seog-Joo;Lee, Jong-Moo;Kim, Choon-Kyung;Cho, Chang-Hee
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.265-267
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    • 2004
  • A blind separation problem in a multiple-input-multiple-output (MIMO) linear time-invariant (LTI) system with finite-alphabet inputs is considered. A discrete-time matrix equation model is used to describe the input-output relation of the system in order to make full use of the advantages of modern digital signal processing techniques. At first, ambiguity problem is investigated. Then, based on the results of the investigation, a new identifiability condition is proposed for the case of an input-data set which is widely used in digital communication. A probability bound such that an arbitrary input matrix satisfies the identifiability condition is derived. Finally, Monte-Carlo simulation is performed to demonstrate the validity of our suggestions.

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A Study on the Output Power Optimization of Mobile WiMAX Base Station (Mobile WiMAX 기지국의 최적 출력파워 도출에 관한 연구)

  • Kim, Sung-Man
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.4A
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    • pp.341-349
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    • 2010
  • In this paper, we studied on the optimization of the output power of Mobile WiMAX (IEEE 802.16) base station considering the technical condition of base station and wireless channel condition. The optimum power of base station can be estimated based on the link budget calculation of downlink and uplink in the Mobile WiMAX communication system. We investigated the optimum output power of base station in the case of 2Tx-2Rx base station with $2{\times}2$ MIMO(multiple input multiple output) technology, 2Tx-4Rx base station with improved receiver sensitivity, and 4Tx-4Rx base station with beamforming technology.

Transceiver Optimization for the Multi-Antenna Downlink in MIMO Cognitive System

  • Zhu, Wentao;Yang, Jingbo;Jia, Tingting;Liu, Xu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.12
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    • pp.5015-5027
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    • 2015
  • Transceiver optimization in multiple input multiple output (MIMO) cognitive systems is studied in this paper. The joint transceiver beamformer design is introduced to minimize the transmit power at secondary base station (SBS) while simultaneously controlling the interference to primary users (PUs) and satisfying the secondary users (SUs) signal-to-interference-plus-noise ratio (SINR) based on the convex optimization method. Due to the limited cooperation between SBS and PUs, the channel state information (CSI) usually cannot be obtained perfectly at the SBS in cognitive system. In this study, both perfect and imperfect CSI scenarios are considered in the beamformer design, and the proposed method is robust to CSI error. Numerical results validate the effectiveness of the proposed algorithm.

Achievable Ergodic Capacity of a MIMO System with a MMSE Receiver

  • Kim, Jae Hong;Kim, Nam Shik;Song, Bong Seop
    • Journal of electromagnetic engineering and science
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    • v.14 no.4
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    • pp.349-352
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    • 2014
  • This paper considers the multiple-input multiple-output (MIMO) system with linear minimum mean square error (MMSE) detection under ideal fast fading. For $N_t$ transmit and $N_r({\geq}N_t)$ receive antennas, we derive the achievable ergodic capacity of MMSE detection exactly. When MMSE detection is considered in a receiver, we introduce a different approach that gives the approximation of a MIMO channel capacity at high signal-to-noise ratio (SNR). The difference between the channel capacity and the achievable capacity of MMSE detection converges to some constant that depends only on the number of antennas. We validate the analytical results by comparing them with Monte Carlo simulated results.

A Joint Channel Estimation and Data Detection for a MIMO Wireless Communication System via Sphere Decoding

  • Patil, Gajanan R.;Kokate, Vishwanath K.
    • Journal of Information Processing Systems
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    • v.13 no.4
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    • pp.1029-1042
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    • 2017
  • A joint channel estimation and data detection technique for a multiple input multiple output (MIMO) wireless communication system is proposed. It combines the least square (LS) training based channel estimation (TBCE) scheme with sphere decoding. In this new approach, channel estimation is enhanced with the help of blind symbols, which are selected based on their correctness. The correctness is determined via sphere decoding. The performance of the new scheme is studied through simulation in terms of the bit error rate (BER). The results show that the proposed channel estimation has comparable performance and better computational complexity over the existing semi-blind channel estimation (SBCE) method.

Extensions on The Fixed Weighting Nature of Cross-Evaluation Model (교차 평가 모델의 고정 가중치 유형의 확장 연구)

  • Choi, Sung-Kyun;Yang, Jae-Kyung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.35 no.1
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    • pp.188-197
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    • 2012
  • DEA 모델중 널리 사용되는 교차평가모델(cross efficiency model)은 가중치에 제한을 두지 않고 어떤 특정분야에 탁월한 성과를 내는 DMU(Decision Making Unit)보다는 보다 전반적인 분야에서 두각을 나타내는 DMU를 선발함으로써 많은 연구자들이 DEA문헌에서 적용하여 왔다. 본 연구에서는 이러한 교차평가모델이 실제에 있어서는 암묵적으로 고정 가중치를 사용한다는 것과 동일한 결과를 나타낸다는 것을 분석적으로 밝혔다(one input, multi output case). 또한 multi-input, multi-output case의 경우에도 overall performer의 cluster에 근접한 대다수 DMU의 경우에는 고정 가중치를 사용한 경우와 거의 차이가 없음을 보였다. 교차평가 모델에 적용된 변수의 가중치를 보다 명확히 함으로써 연구자들이 모델의 평가결과를 이해하는데 도움이 될 수 있을 것이다. 또한 교차 평가의 가중치 도식을 더 명확히 보여주기 위해 biplot을 제안한다.