Showing 281 - 300 results of 724 for search '"MIMO"', query time: 0.05s Refine Results
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    The Effectiveness of Hybrid Beamforming in Enhancing the Performance of NOMA-mmWave and Massive MIMO Systems by Oubassghir Mourtada, Boulouird Mohamed

    Published 2024-01-01
    “…As wireless networks evolve, the integration of Non-Orthogonal Multiple Access (NOMA), Massive Multiple Input Multiple Output (mMIMO), and millimeter wave (mmWave) technologies emerges as an effective approach to drive this advancement. …”
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    A New Generation Method for Spatial-Temporal Correlated MIMO Nakagami Fading Channel by Qiu-Ming Zhu, Xiang-Bin Yu, Jun-Bo Wang, Da-Zhuan Xu, Xiao-Min Chen

    Published 2012-01-01
    “…A new generation method for spatial and temporal correlated multiple-input multiple-output (MIMO) Nakagami fading channel is proposed, which has low complexity and is applicable for arbitrary fading parameters and prespecified correlation coefficients of different subchannel. …”
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    Two-Dimensional DOA Estimation for Monostatic MIMO Radar with Electromagnetic Vector Received Sensors by Guimei Zheng, Jun Tang

    Published 2016-01-01
    “…We study two-dimensional direction of arrival (2D-DOA) estimation problem of monostatic MIMO radar with the receiving array which consists of electromagnetic vector sensors (EMVSs). …”
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    Computer Simulation and Field Experiment for Downlink Multiuser MIMO in Mobile WiMAX System by Kazuhiro Yamaguchi, Takaharu Nagahashi, Takuya Akiyama, Hideaki Matsue, Kunio Uekado, Takakazu Namera, Hiroshi Fukui, Satoshi Nanamatsu

    Published 2015-01-01
    “…The transmission performance for a downlink mobile WiMAX system with multiuser multiple-input multiple-output (MU-MIMO) systems in a computer simulation and field experiment is described. …”
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    Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networks by Xian-zhong XIE, Dan LI, Wei-jia LEI, Sen-lin ZHANG

    Published 2017-11-01
    “…A novel limited feedback for interference alignment algorithm was proposed based on the disadvantages of traditional limited feedback interference alignment schemes for MIMO uplink.Unlike the traditional linear interference alignment,an iterative scheme was presented.The pre-coder was designed through maximizing the target signal to the interference leakage and noise ratio,and interference suppression matrix was designed by maximizing the signal to interference plus noise ratio for each data stream,which can come over rate loss in low SNR.In addition,the bit allocation of traditional limited feedback schemes were based on the mean of interference leakage,which were not perfect and make the total number of the effective bits less than the bits provided by system.Thus,a novel bit allocation scheme was provided that improving bit utilize and decreasing quantization error.Theoretical analysis and simulation experiments show that compare to the existed classical algorithms,the algorithm was a stepwise enhancement of signal quality for iterative search in perfect CSI which was better than linear algorithm and has a larger space with no need for strictly align interference in limited feedback CSI which reduces the influence of quantization error more.The effective bit distribution and bit utilization are improved by bit allocation,resulting in improved performance in limited feedback.…”
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    Energy Efficiency Analysis of Antenna Selection Techniques in Massive MIMO-OFDM System with Hardware Impairments by Anuj Singal, Deepak Kedia

    Published 2018-01-01
    “…In massive multiple-input multiple-output (M-MIMO) systems, a large number of antennas increase system complexity as well as the cost of hardware. …”
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    A Low Complexity Near-Optimal Detector Based on Teaching-Learning Algorithm for Massive MIMO by Hamid Amiriara, Mohammadreza Zahabi

    Published 2024-03-01
    “…As a result, the proposed detector is very efficient for use in massive MIMO systems.…”
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