Search Results - low-complexity matrix inversion scheme

Efficient and low‐complexity matrix inversion scheme for massive multiple‐input multiple‐output systems using rapid numerical algorithms

Authors: Emmanuel Mukubwa O. Sokoya

Source: The Journal of Engineering (2019)

Subject Terms: polynomials, achievable data rates, 02 engineering and technology, rapid numerical algorithm precoder, 01 natural sciences, linear codes, matrix inversion, wireless channels, 0202 electrical engineering, electronic engineering, information engineering, massive multiple-input multiple-output systems, truncated polynomial expansion precoder, rna precoder, 0101 mathematics, massive multiple-input multiple-output wireless system, precoding, interference suppression, radiofrequency interference, rzf precoder, Engineering (General). Civil engineering (General), low-complexity matrix inversion scheme, tpe precoder, rapid numerical algorithms, mimo communication, TA1-2040, massive mimo system, error statistics

Access URL: https://doaj.org/article/b78eff855c84417f9c06b0d1647a7d4a
https://digital-library.theiet.org/content/journals/10.1049/joe.2018.5015

A fast and low-complexity matrix inversion scheme based on CSM method for massive MIMO systems

Authors: Yue Xu Weixia Zou Liutong Du

Source: EURASIP Journal on Wireless Communications and Networking. 2016

Subject Terms: 0203 mechanical engineering, Computer Networks and Communications, Signal Processing, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Computer Science Applications

Access URL: https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-016-0749-3
https://link.springer.com/content/pdf/10.1186%2Fs13638-016-0749-3.pdf
https://paperity.org/p/78306212/a-fast-and-low-complexity-matrix-inversion-scheme-based-on-csm-method-for-massive-mimo
https://jwcn-eurasipjournals.springeropen.com/articles/10.1186/s13638-016-0749-3
https://doi.org/10.1186/s13638-016-0749-3
https://core.ac.uk/display/81789442
https://dblp.uni-trier.de/db/journals/ejwcn/ejwcn2016.html#XuZD16

High-efficiency reduced space sequential convex programming using low-complexity matrix inversion.

Authors: Ma, Yangyang Pan, Binfeng Huang, Longxin et al.

Source: Aerospace Science & Technology. Apr2025, Vol. 159, pN.PAG-N.PAG. 1p.

Subject Terms: *MATRIX inversion, *TRAJECTORY optimization, *ROCKET launching, *EQUATIONS of state, *COMPUTATIONAL complexity

A fast and low-complexity matrix inversion scheme based on CSM method for massive MIMO systems

Authors: Xu, Yue Zou, Weixia Du, Liutong

Subject Terms: Massive MIMO, Cholesky-decomposition, Sherman-Morrison lemma, Neumann series, RZF, CSM-based precoding

Relation: http://jwcn.eurasipjournals.com/content/2016/1/251

Availability: http://jwcn.eurasipjournals.com/content/2016/1/251

Near-Optimal Low-Complexity Hybrid Precoding for THz Massive MIMO Systems.

Authors: Yuke Sun Aihua Zhang Hao Yang et al.

Source: KSII Transactions on Internet & Information Systems. Apr2024, Vol. 18 Issue 4, p1042-1058. 17p.

Subject Terms: Terahertz technology, Matrix inversion, MIMO systems, Telecommunication systems, Digital communications, Digital technology, Phase shifters, Computational complexity

Low-Complexity LMMSE-Based Iterative Soft Interference Cancellation for MIMO Systems.

Source: IEEE Transactions on Signal Processing. 6/15/2022, Vol. 70, p1890-1899. 10p.

Subject Terms: *MATRIX inversion, *RECEIVING antennas, *MATCHED filters, *ITERATIVE decoding, *SPACE-time block codes, *MIMO systems, *COVARIANCE matrices

Likelihood ascent search‐aided low complexity improved performance massive MIMO detection in perfect and imperfect channel state information.

Authors: Chakraborty, Sourav Sinha, Nirmalendu Bikas Mitra, Monojit

Source: International Journal of Communication Systems. 5/25/2022, Vol. 35 Issue 8, p1-23. 23p.

Subject Terms: *MATRIX inversion, *COMPUTATIONAL complexity, *MINI-Mental State Examination

A low-complexity transmit combining method for downlink of massive multiuser multiple input multiple output systems.

Authors: Dabetic, Rade P. Markovic, Goran B.

Source: Electronics Letters (Wiley-Blackwell). May2023, Vol. 59 Issue 10, p1-3. 3p.

Subject Terms: *MIMO systems, *MATRIX inversion, *ANTENNAS (Electronics), *COMPUTATIONAL complexity, *ORTHOGONALIZATION, *MULTIPLE access protocols (Computer network protocols), *MULTIUSER computer systems

Low complexity ordered successive interference cancelation detection algorithm for uplink MIMO SC‐FDMA system.

Authors: Praveena, Nalamani G. Selvaraj, Kandasamy Judson, David et al.

Source: ETRI Journal. Oct2023, Vol. 45 Issue 5, p899-909. 11p.

Subject Terms: Frequency division multiple access, MIMO systems, Mean square algorithms, Matrix inversion, Error probability, Mathematical notation

Efficient and low-complexity matrix inversion scheme for massive multiple-input multiple-output systems using rapid numerical algorithms.

Authors: Mukubwa, Emmanuel Sokoya, Oludare A.

Source: Journal of Engineering; Oct2019, Vol. 2019 Issue 20, p7244-7249, 6p

Subject Terms: MIMO systems, SIGNAL-to-noise ratio, SIGNAL processing, WIRELESS communications, POLYNOMIALS

A Fast Convergence Scheme Using Chebyshev Iteration Based on SOR and Applied to Uplink M-MIMO B5G Systems for Multi-User Detection.

Authors: Tu, Yung-Ping Liu, Guan-Hong

Source: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 12, p6658, 38p

Subject Terms: WIRELESS communications, MEAN square algorithms, MATRIX inversion, COMPUTATIONAL complexity, DETECTORS, BIT error rate, MIMO systems

A Low-Complexity Peak Searching Method for Jointly Optimizing the Waveform and Filter of MIMO Radar.

Authors: Han, Yan Jiang, Defu Gao, Yiyue et al.

Source: Electronics (2079-9292); Nov2025, Vol. 14 Issue 21, p4252, 22p

Subject Terms: MIMO radar, SIGNAL-to-noise ratio, ALGORITHMS, MATRIX inversion, COMPUTATIONAL complexity, SIGNAL filtering, SIGNAL processing

A Low‐Complexity Expectation Propagation Detector for OTFS.

Authors: Pu, Xumin Sun, Zhinan Wen, Wanli et al.

Source: IET Signal Processing (Wiley-Blackwell); 10/25/2024, Vol. 2024, p1-11, 11p

Subject Terms: MATRIX inversion, WIRELESS communications, SIGNAL detection, COVARIANCE matrices, COMPUTATIONAL complexity

A Low-Complexity Precoding Scheme for Downlink Massive MU-MIMO Systems with Low-Resolution DACs.

Authors: Dong, Yuanyuan Gong, Caihong Zhang, Zhenyu et al.

Source: Wireless Personal Communications; Aug2022, Vol. 125 Issue 4, p3627-3640, 14p

Subject Terms: MATRIX inversion, COMPUTATIONAL complexity, SUCCESSIVE approximation analog-to-digital converters, DIGITAL-to-analog converters

A Low Complexity Near Optimal Signal Detection for Large Scale MIMO SC-FDMA Uplink System.

Authors: Selvaraj, Kandasamy Anandaraj, Mahalingam Judson, David et al.

Source: Wireless Personal Communications; Sep2022, Vol. 126 Issue 1, p231-250, 20p

Subject Terms: FREQUENCY division multiple access, SIGNAL detection, BIT error rate, MEAN square algorithms, MATRIX inversion, COMPUTATIONAL complexity

Low-Complexity Beamforming Design for a Cooperative Reconfigurable Intelligent Surface-Aided Cell-Free Network.

Authors: Siddiqi, Muhammad Zain Munir, Aisha Mohsan, Syed Agha Hassnain et al.

Source: Sensors (14248220); Jan2023, Vol. 23 Issue 2, p903, 16p

Subject Terms: BEAMFORMING, PARTICIPATORY design, PARTICLE swarm optimization, MATRIX inversion, ENERGY consumption, WIRELESS sensor networks

Low complexity and high performance symbol detection scheme for uplink wide-banded cyclic prefixed filter bank multiple access system without analysis filtering.

Authors: Jian Dang Yuhao Qi Zaichen Zhang et al.

Source: Electronics Letters (Wiley-Blackwell). 3/7/2019, Vol. 55 Issue 5, p288-290. 3p.

Subject Terms: *BROADBAND communication systems, *FILTER banks, *MATRIX inversion, *COMPUTER simulation, *MATRICES (Mathematics)

Low-Complexity BFGS-Based Soft-Output MMSE Detector for Massive MIMO Uplink.

Authors: Lin Li Jianhao Hu

Source: IET Signal Processing (Wiley-Blackwell); 11/14/2023, Vol. 2023, p1-8, 8p

Subject Terms: MIMO systems, MEAN square algorithms, DETECTORS, MINI-Mental State Examination, MATRIX inversion

A novel families of higher‐order multistep iterative methods for solving nonlinear systems.

Authors: Saheya, B. Zhanlav, T. Mijiddorj, R.

Source: Mathematical Methods in the Applied Sciences; May2025, Vol. 48 Issue 7, p8260-8273, 14p

Subject Terms: MATRIX inversion, NONLINEAR systems

Neural-Network-Based Interference Cancellation for MRC and EGC Receivers in Large Intelligent Surfaces for 6G.

Authors: Marques da Silva, Mário Pembele, Gelson Dinis, Rui

Source: Electronics (2079-9292); May2025, Vol. 14 Issue 10, p2083, 15p

Subject Terms: MEAN square algorithms, MATRIX inversion, COMPUTATIONAL complexity, MINI-Mental State Examination