• 제목/요약/키워드: MIMO(Multiple-Input-Multiple-Output)

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A Parallel Collaborative Sphere Decoder for a MIMO Communication System

  • Koo, Jihun;Kim, Soo-Yong;Kim, Jaeseok
    • Journal of Communications and Networks
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    • 제16권6호
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    • pp.620-626
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    • 2014
  • In this paper, we propose a parallel collaborative sphere decoder with a scalable architecture promising quasi-maximum likelyhood performance with a relatively small amount of computational resources. This design offers a hardware-friendly algorithm using a modified node operation through fixing the variable complexity of the critical path caused by the sequential nature of the conventional sphere decoder (SD). It also reduces the computational complexity compared to the fixed-complexity sphere decoder (FSD) algorithm by tree pruning using collaboratively operated node operators. A Monte Carlo simulation shows that our proposed design can be implemented using only half the parallel operators compared to the approach using an ideal fully parallel scheme such as FSD, with only about a 7% increase of the normalized decoding time for MIMO dimensions of $16{\times}16$ with 16-QAM modulation.

An Energy-Efficient Multi-Hop Scheme Based on Cooperative MIMO for Wireless Sensor Networks

  • 팽우양;안성범;반재경
    • 한국통신학회논문지
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    • 제36권9A호
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    • pp.796-800
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    • 2011
  • An energy-efficient multi-hop scheme based on cooperative MIMO (multiple-input multiple-output) technique is proposed for wireless sensor networks, taking into consideration the modulation constellation size, transmission distance, and extra training overhead requirement. The scheme saves energy by selecting the hop length. In order to evaluate the performance of the proposed scheme, a detailed analysis of the energy and delay efficiencies in the proposed scheme compared with the equidistance scheme is presented. Results from numerical experiments indicate that by use of the proposed scheme significant savings in terms of total energy cousumption can be achieved.

2-레벨 탐색을 이용한 스피어 디코딩 알고리즘 (Sphere Decoding Algorithm Using Two-Level Search)

  • 현 트롱안;조종민;김진상;조원경
    • 한국통신학회논문지
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    • 제33권12A호
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    • pp.1133-1137
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    • 2008
  • 스피어 디코딩은 MIMO 심볼검출 기법 중 가장 유망한 기법 중 하나로 알려져 있다. 본 논문에서는 새로운 2 레벨 탐색 스피어 디코딩 알고리즘을 제안한다. 제안된 알고리즘은 심볼검출 시에 성능향상에 영향을 줄 수 있는 유용한 후보군이 이전 단계에서 버려지는 것을 피하기 위해서, 2 레벨 트리 탐색을 동시에 수행한다. 시뮬레이션 결과, 제안된 알고리즘이 BER 측면에서 기존의 알고리즘보다 성능이 우수함을 확인하였다.

Optimization of Channel Capacity in MIMO Systems

  • Pham Van-Su;Le Minh Tuan;Yoon Giwan
    • Journal of information and communication convergence engineering
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    • 제3권4호
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    • pp.172-175
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    • 2005
  • In this paper, a new method to get the optimum channel capacity of a Multiple-Input Multiple­Output (MIMO) system is presented. The proposed method exploits the diagonal structure of channel matrix to maximize the channel capacity. The diagonal format of the channel matrix is formed by multiplying the transmitted signal with the pre-compensated channel PCC) matrix. Numerical simulations show that the proposed method exploiting the diagonal structure of channel matrix could significantly increase the system capacity compared with the system without applying the diagonal structure of channel matrix.

Relay node selection algorithm consuming minimum power of MIMO integrated MANET

  • Chowdhuri, Swati;Banerjee, Pranab;Chaudhuri, Sheli Sinha
    • Advances in Computational Design
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    • 제3권2호
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    • pp.191-200
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    • 2018
  • Establishment of an efficient routing technique in multiple-input-multiple-output (MIMO) based mobile ad hoc network (MANET) is a new challenge in wireless communication system to communicate in a complex terrain where permanent infrastructure network implementation is not possible. Due to limited power of mobile nodes, a minimum power consumed routing (MPCR) algorithm is developed which is an integration of cooperative transmission process. This algorithm select relay node and support short distance communication. The performance analysis of proposed routing algorithm increased signal to noise interference ratio (SNIR) resulting effect of cooperative transmission. Finally performance analysis of the proposed algorithm is verified with simulated result.

A Review of Fixed-Complexity Vector Perturbation for MU-MIMO

  • Mohaisen, Manar
    • Journal of Information Processing Systems
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    • 제11권3호
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    • pp.354-369
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    • 2015
  • Recently, there has been an increasing demand of high data rates services, where several multiuser multiple-input multiple-output (MU-MIMO) techniques were introduced to meet these demands. Among these techniques, vector perturbation combined with linear precoding techniques, such as zero-forcing and minimum mean-square error, have been proven to be efficient in reducing the transmit power and hence, perform close to the optimum algorithm. In this paper, we review several fixed-complexity vector perturbation techniques and investigate their performance under both perfect and imperfect channel knowledge at the transmitter. Also, we investigate the combination of block diagonalization with vector perturbation outline its merits.

Novel High-Rate High-Performance Space-Time Codes

  • Le, Minh-Tuan;Linh Mai;Pham, Van-Su;Yoon, Gi-Wan
    • Journal of information and communication convergence engineering
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    • 제2권2호
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    • pp.67-70
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    • 2004
  • In this paper, we propose two novel high-rate high-performance space-time codes for multiple-input multiple-output (MIMO) systems. When $n_T$ transmit antennas and When $n_R$ = When $n_T$ receive antennas are deployed, the two proposed codes respectively offer transmission rates of (When $n_T$ -1) and (When $n_T$ -2) symbols per channel use and diversity orders of 3 and 5. As a consequence, our proposed codes allow the MIMO systems to employ a simple detection technique based on QR decomposition. Moreover, for equal or even higher spectral efficiencies, our proposed codes always provide much better bit error rate (BER) performances than V-BLAST architecture does when When $n_R$ = When $n_T$. Computer simulation is given to verify performances of our proposed codes.

Localization of Subsurface Targets Based on Symmetric Sub-array MIMO Radar

  • Liu, Qinghua;He, Yuanxin;Jiang, Chang
    • Journal of Information Processing Systems
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    • 제16권4호
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    • pp.774-783
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    • 2020
  • For the issue of subsurface target localization by reverse projection, a new approach of target localization with different distances based on symmetric sub-array multiple-input multiple-output (MIMO) radar is proposed in this paper. By utilizing the particularity of structure of the two symmetric sub-arrays, the received signals are jointly reconstructed to eliminate the distance information from the steering vectors. The distance-independent direction of arrival (DOA) estimates are acquired, and the localizations of subsurface targets with different distances are realized by reverse projection. According to the localization mechanism and application characteristics of the proposed algorithm, the grid zooming method based on spatial segmentation is used to optimize the locaiton efficiency. Simulation results demonstrate the effectiveness of the proposed localization method and optimization scheme.

A Neoteric Three-Dimensional Geometry-Based Stochastic Model for Massive MIMO Fading Channels in Subway Tunnels

  • Jiang, Yukang;Guo, Aihuang;Zou, Jinbai;Ai, Bo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권6호
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    • pp.2893-2907
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    • 2019
  • Wireless mobile communication systems in subway tunnels have been widely researched these years, due to increased demand for the communication applications. As a result, an accurate model is essential to effectively evaluate the communication system performance. Thus, a neoteric three-dimensional (3D) geometry-based stochastic model (GBSM) is proposed for the massive multiple-input multiple-output (MIMO) fading channels in tunnel environment. Furthermore, the statistical properties of the channel such as space-time correlation, amplitude and phase probability density are analyzed and compared with those of the traditional two-dimensional (2D) model by numerical simulations. Finally, the ergodic capacity is investigated based on the proposed model. Numerical results show that the proposed model can describe the channel in tunnels more practically.

Blind downlink channel estimation for TDD-based multiuser massive MIMO in the presence of nonlinear HPA

  • Pasangi, Parisa;Atashbar, Mahmoud;Feghhi, Mahmood Mohassel
    • ETRI Journal
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    • 제41권4호
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    • pp.426-436
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    • 2019
  • In time division duplex (TDD)-based multiuser massive multiple input multiple output (MIMO) systems, the uplink channel is estimated and the results are used in downlink for signal detection. Owing to noisy uplink channel estimation, the downlink channel should also be estimated for accurate signal detection. Therefore, recently, a blind method was developed, which assumes the use of a linear high-power amplifier (HPA) in the base station (BS). In this study, we extend this method to a scenario with a nonlinear HPA in the BS, where the Bussgang decomposition is used for HPA modeling. In the proposed method, the average power of the received signal for each user is a function of channel gain, large-scale fading, and nonlinear distortion variance. Therefore, the channel gain is estimated, which is required for signal detection. The performance of the proposed method is analyzed theoretically. The simulation results show superior performance of the proposed method compared to that of the other methods in the literature.