Search Results - deterministic precoder matrix*

Iterative Generalized Eigenvector Precoder With Deterministic Equivalents for 3D Massive MIMO.

Authors: Lu, An-An Zhang, Yuxuan Gao, Xiqi

Source: IEEE Transactions on Vehicular Technology. Nov2021, Vol. 70 Issue 11, p11784-11795. 12p.

Subject Terms: *TRANSMISSION line matrix methods

Sum-Rate-Optimal Statistical Precoding for FDD Massive MIMO Downlink With Deterministic Equivalents.

Authors: Zhang, Yu-Xuan Lu, An-An Gao, Xiqi

Source: IEEE Transactions on Vehicular Technology; Jul2022, Vol. 71 Issue 7, p7359-7370, 12p

Subject Terms: MEAN square algorithms, TRANSMISSION line matrix methods, TELECOMMUNICATION satellites

On the asymptotic sum rate of downlink cellular systems with random user locations

Authors: Girnyk, Maksym A. Muller, A. Vehkapera, M. et al.

Source: IEEE Wireless Communications Letters. 4(3):333-336

Subject Terms: Mobile security, Random variables, Cellular system, Deterministic approximation, Finite-sized systems, Inter-user interference, Multi antennas, Precoder matrix, Random matrix theory, Random users, Mobile telecommunication systems

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175037

A Hybrid Low-Complexity WMMSE Precoder with Adaptive Damping for Massive Multi-User Multiple-Input Multiple- Output Systems.

Authors: Sen, Vaskar Deng, Honggui Xu, Xiaowen et al.

Source: Sensors (14248220); Nov2025, Vol. 25 Issue 22, p6827, 19p

Subject Terms: COMPUTATIONAL complexity, MIMO systems, EMPIRICAL research, SIGNAL processing, OPTIMIZATION algorithms

Cross-subcarrier precoder design for massive MIMO-OFDM downlink with symplectic optimization.

Authors: Zhang, Yuxuan Lu, An-An Xia, Xiang-Gen et al.

Source: SCIENCE CHINA Information Sciences; Feb2025, Vol. 68 Issue 2, p1-14, 14p

Generalized Quadratic Matrix Programming: A Unified Approach for Linear Precoder Design

Authors: Chengshan Xiao Juening Jin Yahong Rosa Zheng et al.

Source: 2016 IEEE Global Communications Conference (GLOBECOM). :1-6

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://ieeexplore.ieee.org/document/7841860/
https://ieeexplore.ieee.org/document/7841860/
https://dblp.uni-trier.de/db/conf/globecom/globecom2016.html#JinZCX16

Weighted Gauss-Seidel Precoder for Downlink Massive MIMO Systems.

Authors: Jun-Yong Jang Won-Seok Lee Jae-Hyun Ro et al.

Source: Computers, Materials & Continua; 2021, Vol. 67 Issue 2, p1729-1745, 17p

Subject Terms: MATRIX inversion, MIMO systems, ERROR rates, LEAST squares

Design and Optimization of Hybrid Precoders in Massive MIMO Systems: Leveraging Low-Resolution ADCs/DACs, Reconfigurable Intelligent Surfaces, and Deep Learning Algorithms.

Authors: N. G., Girish Kumar Raju, M. N. Sree Ranga

Source: International Journal of Intelligent Engineering & Systems; 2024, Vol. 17 Issue 1, p748-770, 23p

Subject Terms: MACHINE learning, MIMO systems, DEEP learning, SUCCESSIVE approximation analog-to-digital converters, ANALOG-to-digital converters, DIGITAL-to-analog converters, BACK propagation, BIT error rate

Low Complexity Precoder and Receiver Design for Massive MIMO Systems: A Large System Analysis using Random Matrix Theory

Authors: Sifaou, Houssem

Thesis Advisors: Alouini, Mohamed-Slim, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Kammoun, Abla, Al-Naffouri, Tareq Y., Sun, Ying

Subject Terms: Massive MIMO, Linear precoding, linear receiver, Asymptotic analysis, Random matrix theory, low complexity

Availability: http://hdl.handle.net/10754/608584

Asymptotic performance of reconfigurable intelligent surface assisted MIMO communication for large systems using random matrix theory.

Authors: Hu, Feng Zhang, Hongliu Chen, ShuTing et al.

Source: IET Communications (Wiley-Blackwell); May2024, Vol. 18 Issue 8, p477-489, 13p

Subject Terms: MIMO systems, RANDOM matrices, ELECTROMAGNETIC waves, COMPUTATIONAL complexity, RANDOM graphs, BEAMFORMING

Robust Precoding for 3D Massive MIMO Configuration With Matrix Manifold Optimization.

Authors: Wang, Chen Lu, An-An Gao, Xiqi et al.

Source: IEEE Transactions on Wireless Communications; May2022, Vol. 21 Issue 5, p3423-3437, 15p

Deterministic blind estimation of time- and frequency-selective fading channels using filterbank precoders.

Authors: Tepedelenlioglu, C.

Source: 1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat No99EX304); 1999, p74-77, 4p

Deep Learning-Based Hybrid Precoding Approach in the Massive Multiple-Input Multiple-Output System.

Authors: Ramanathan, Srividhya Maria, Anto Bennet

Source: IETE Journal of Research; Oct2024, Vol. 70 Issue 10, p7648-7669, 22p

Subject Terms: ARTIFICIAL neural networks, WIRELESS communications, SIGNAL processing, SIGNAL-to-noise ratio, DEEP learning, ALGORITHMS, MIMO systems

Robust Transmission for Massive MIMO Downlink With Imperfect CSI.

Authors: Lu, An-An Gao, Xiqi Zhong, Wen et al.

Source: IEEE Transactions on Communications; Aug2019, Vol. 67 Issue 8, p5362-5376, 15p

Subject Terms: CHANNEL estimation, DETERMINISTIC algorithms, COMPUTATIONAL complexity, STATISTICAL models, COVARIANCE matrices, ROBUST control

Robust Linear Precoder Design for 3D Massive MIMO Downlink With A Posteriori Channel Model.

Authors: Lu, An-An Gao, Xiqi Xiao, Chengshan

Source: IEEE Transactions on Vehicular Technology; Jul2022, Vol. 71 Issue 7, p7274-7286, 13p

Subject Terms: SIGNAL-to-noise ratio, CONCAVE functions, STATISTICAL models, GAUSSIAN channels

Sensing Mutual Information with Random Signals in Gaussian Channels

Authors: Xie, Lei Liu, Fan Xie, Zhanyuan et al.

Index Terms: Integrated sensing and communication, Precoder design, Random signal, Sensing degree of freedom, Sensing mutual information, Conference paper

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-142920
https://doi.org/10.1109/ICC51166.2024.10622618
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1550-3607&rft.volume=&rft.issue=&rft.date=2024&rft.spage=2228&rft.aulast=Xie&rft.aufirst=Lei&rft.atitle=Sensing+Mutual+Information+with+Random+Signals+in+Gaussian+Channels&rft.title=IEEE+International+Conference+on+Communications
http://www.scopus.com/record/display.url?eid=2-s2.0-85202793679&origin=inward

Low complexity hybrid algorithm for improving PAPR BER and PSD in OTFS under diverse channel conditions.

Authors: Kumar, Arun Nanthaamornphong, Aziz Gaur, Nishant et al.

Source: Scientific Reports; 11/26/2025, Vol. 15 Issue 1, p1-18, 18p

Subject Terms: RAYLEIGH fading channels, SIGNAL-to-noise ratio, SIGNAL processing, MODULATION theory, ELECTRONIC modulation, ERROR probability

Sum-rate optimization for the MIMO IC under imperfect CSI: A deterministic equivalent approach.

Authors: Rezaee, Mohsen Couillet, Romain Guillaud, Maxime et al.

Source: 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC); 1/ 1/2012, p259-263, 5p

Recursive Construction of Minimum Euclidean Distance-Based Precoder for Arbitrary-Dimensional MIMO Systems.

Authors: Xu, Xiaodong Chen, Zhiyong

Source: IEEE Transactions on Communications; Apr2014, Vol. 62 Issue 4, p1258-1271, 14p

Subject Terms: MIMO systems, MATRIX decomposition, EUCLIDEAN distance, ALGORITHMS, LATTICE theory

Optimal precoding design for decentralized detection of deterministic signals.

Authors: Jun Fang Hongbin Li Zhi Chen et al.

Source: 2012 IEEE 7th Sensor Array & Multichannel Signal Processing Workshop (SAM); 1/ 1/2012, p57-60, 4p