Search Results - low-complexity matrix inversion scheme

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  1. 1

    Efficient and low-complexity matrix inversion scheme for massive multiple-input multiple-output systems using rapid numerical algorithms by Mukubwa, Emmanuel, Sokoya, Oludare A

    ISSN: 2051-3305, 2051-3305
    Published: The Institution of Engineering and Technology 01.10.2019
    “…Performances of the regularised zero forcing (RZF) precoder, rapid numerical algorithm (RNA) precoder and the truncated polynomial expansion (TPE) Precoder are…”
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    Journal Article
  2. 2

    A fast and low-complexity matrix inversion scheme based on CSM method for massive MIMO systems by Xu, Yue, Zou, Weixia, Du, Liutong

    ISSN: 1687-1499, 1687-1472, 1687-1499
    Published: Cham Springer International Publishing 19.10.2016
    “… (Cholesky and Sherman-Morrison strategy)-based precoding scheme to the matrix inversion by exploiting the asymptotically orthogonal channel property in massive MIMO…”
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    Journal Article
  3. 3

    High-efficiency reduced space sequential convex programming using low-complexity matrix inversion by Ma, Yangyang, Pan, Binfeng, Huang, Longxin, Chen, Qi, Xu, Zihui

    ISSN: 1270-9638
    Published: Elsevier Masson SAS 01.04.2025
    Published in Aerospace science and technology (01.04.2025)
    “… To address this challenge, this study proposes three efficiency-enhanced rSCP methods utilizing low-complexity matrix inversion techniques…”
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    Journal Article
  4. 4

    Likelihood ascent search‐aided low complexity improved performance massive MIMO detection in perfect and imperfect channel state information by Chakraborty, Sourav, Sinha, Nirmalendu Bikas, Mitra, Monojit

    ISSN: 1074-5351, 1099-1131
    Published: Chichester Wiley Subscription Services, Inc 25.05.2022
    “… Therefore, low complexity iterative detection schemes are proposed in the literature as an alternative to the exact MMSE method…”
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    Journal Article
  5. 5

    Low complexity signal detector based on SSOR iteration for large-scale MIMO systems by Yaoyao Sun, Zhengquan Li, Chi Zhang, Rui Zhang, Feng Yan, Lianfeng Shen

    ISSN: 2472-7628
    Published: IEEE 01.10.2017
    “… In order to reduce the complexity of the matrix inversion, we proposed a low-complexity MMSE detection scheme based on symmetric successive over relaxation (SSOR…”
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    Conference Proceeding
  6. 6

    A Near-Optimal Iterative Linear Precoding With Low Complexity for Massive MIMO Systems by Liu, Yang, Liu, Jinhong, Wu, Qiong, Zhang, Yinghui, Jin, Minglu

    ISSN: 1089-7798, 1558-2558
    Published: New York IEEE 01.06.2019
    Published in IEEE communications letters (01.06.2019)
    “…) precoding scheme with low complexity based on an iterative method. Specifically, the proposed WTS precoding converts the complicated matrix inversion into two-half…”
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    Journal Article
  7. 7

    A Statistical Linear Precoding Scheme Based on Random Iterative Method for Massive MIMO Systems by Wang, Zheng, Gower, Robert M., Zhang, Cheng, Lyu, Shanxiang, Xia, Yili, Huang, Yongming

    ISSN: 1536-1276, 1558-2248
    Published: New York IEEE 01.12.2022
    “… precoding schemes can be approximated statistically, which not only achieves a faster exponential convergence with low complexity but also experiences a global convergence without suffering from the various convergence requirements…”
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    Journal Article
  8. 8

    Low-Complexity LSQR-Based Linear Precoding for Massive MIMO Systems by Tian Xie, Zhaohua Lu, Qian Han, Jinguo Quan, Bichai Wang

    Published: IEEE 01.09.2015
    “… In this paper, we propose a low-complexity precoding scheme based on the least square QR (LSQR) method to realize the near-optimal performance of ZF precoding without matrix inversion…”
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    Conference Proceeding
  9. 9

    A Low Complexity Signal Detection Scheme Based on Improved Newton Iteration for Massive MIMO Systems by Jin, Fangli, Liu, Qiufeng, Liu, Hao, Wu, Peng

    ISSN: 1089-7798, 1558-2558
    Published: New York IEEE 01.04.2019
    Published in IEEE communications letters (01.04.2019)
    “…Massive multiple-input multiple-output (MIMO) systems need to handle a large number of matrix inversion operations during the signal detection process…”
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    Journal Article
  10. 10

    Capacity-approaching linear precoding with low-complexity for large-scale MIMO systems by Gao, Xinyu, Dai, Linglong, Zhang, Jiayi, Han, Shuangfeng, Chih-Lin, I.

    ISSN: 1550-3607
    Published: IEEE 01.06.2015
    “… inversion of large size. In this paper, we propose a low-complexity linear precoding scheme based on the Gauss-Seidel (GS) method…”
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    Conference Proceeding
  11. 11

    Low complexity and high performance symbol detection scheme for uplink wide-banded cyclic prefixed filter bank multiple access system without analysis filtering by Dang, Jian, Qi, Yuhao, Zhang, Zaichen, Wu, Liang

    ISSN: 0013-5194, 1350-911X, 1350-911X
    Published: The Institution of Engineering and Technology 07.03.2019
    Published in Electronics letters (07.03.2019)
    “… By leveraging a particular interleaving structure, the large matrix inversion operation is decomposed into parallel matrices inversions with small sizes…”
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    Journal Article
  12. 12

    Low Complexity Approximate Zero-Forcing Precoding for Massive MIMO Downlink by Zhang, Cheng, Jing, Yindi, Huang, Yongming, Yang, Luxi

    ISSN: 1938-1883
    Published: IEEE 01.05.2018
    “… In this paper, we adopt the first order Neumann series (NS) expansion for a low-complexity approximation of matrix inversion…”
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    Conference Proceeding
  13. 13

    Low-complexity Graph Sampling With Noise and Signal Reconstruction via Neumann Series by Wang, Fen, Cheung, Gene, Wang, Yongchao

    ISSN: 1053-587X, 1941-0476
    Published: New York IEEE 01.11.2019
    Published in IEEE transactions on signal processing (01.11.2019)
    “…Graph sampling addresses the problem of selecting a node subset in a graph to collect samples, so that a K-bandlimited signal can be reconstructed with high…”
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    Journal Article
  14. 14

    Low-complexity signal detection for large-scale MIMO systems with second-order Richardson method by Khoso, Imran A, Zhang, Xiaofei, Shaikh, Abdul Hayee

    ISSN: 0013-5194, 1350-911X, 1350-911X
    Published: The Institution of Engineering and Technology 30.04.2020
    Published in Electronics letters (30.04.2020)
    “…) systems but entails high computational complexity due to large matrix inversion operations…”
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    Journal Article
  15. 15

    Jac-PCG Based Low-Complexity Precoding for Extremely Large-Scale MIMO Systems by Xu, Bokai, Zhang, Jiayi, Li, Jiaxun, Xiao, Huahua, Ai, Bo

    ISSN: 0018-9545, 1939-9359
    Published: New York IEEE 01.12.2023
    Published in IEEE transactions on vehicular technology (01.12.2023)
    “… It is critical to note that in large-scale antenna arrays the operation of channel matrix inversion poses a significant computational challenge for these precoders…”
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    Journal Article
  16. 16

    Secure frequency-domain image compressed sensing with matrix-inversion-free recovery by Huang, Hui, Xiao, Di, Li, Xinyan

    ISSN: 0030-4026, 1618-1336
    Published: Elsevier GmbH 01.04.2023
    Published in Optik (Stuttgart) (01.04.2023)
    “… Therefore, this paper presents a secure frequency-domain image CS scheme with matrix-inversion-free (MIF…”
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    Journal Article
  17. 17

    A Low-Complexity AEPDF-assisted Precoding Scheme for Massive MIMO Systems with Transmit Antenna Correlation by Lee, Kelvin Kuang-Chi, Yang, Yung-Hsin, Li, Jih-Wei

    ISSN: 1939-8018, 1939-8115
    Published: New York Springer US 01.05.2020
    Published in Journal of signal processing systems (01.05.2020)
    “… of a low-complexity, effective precoding scheme aims to address performance degradation due to spatial correlation (i.e…”
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    Journal Article
  18. 18

    Low-Complexity SC-FDE Techniques for Massive MIMO Schemes With Low-Resolution ADCs by Guerreiro, Joao, Dinis, Rui, Montezuma, Paulo

    ISSN: 0090-6778, 1558-0857
    Published: New York IEEE 01.03.2019
    Published in IEEE transactions on communications (01.03.2019)
    “… On one hand, the equalization procedure should avoid matrix inversions, but this might lead to performance degradation…”
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    Journal Article
  19. 19

    Low-Complexity Decision Feedback Equalization for Single-Carrier Massive MIMO Systems by Zhang, Xiaohui, Xing, Ling, Wu, Honghai, Ji, Baofeng, Zhang, Gaoyuan

    ISSN: 0018-9545, 1939-9359
    Published: New York IEEE 01.11.2024
    Published in IEEE transactions on vehicular technology (01.11.2024)
    “… However, matrix-inversion-based DFE schemes are not suitable for massive MIMO systems due to their prohibitively high computational complexity…”
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    Journal Article
  20. 20

    Two Low Complexity MRC and EGC Based Receivers for SC-FDE Modulations with Massive MIMO Schemes by Borges, David, Montezuma, Paulo, Ferreira, Afonso, Dinis, Rui

    ISSN: 1939-8018, 1939-8115
    Published: New York Springer US 01.10.2018
    Published in Journal of signal processing systems (01.10.2018)
    “…Massive multiple-input and multiple-output (MIMO) schemes involving several tens or even hundreds of antenna elements are pointed as one of the key technologies for 5G systems…”
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    Journal Article