Suchergebnisse - "non-linear precoder"

6G Twin: Hybrid Gaussian Radio Fields for Channel Estimation and Non-Linear Precoder Design for Radio Access Networks

Autoren: Mohsin, Muhammad Ahmed Umer, Muhammad Bilal, Ahsan et al.

Schlagwörter: FOS: Computer and information sciences, Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)

Zugangs-URL: http://arxiv.org/abs/2509.18735

Robust Non-linear Precoder for Multiuser MISO Systems Based on Delay and Channel Quantization

Autoren: Feng Zheng Chunxiu Xu Yanzhi Sun et al.

Quelle: Wireless Personal Communications. 72:1993-2014

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dblp.uni-trier.de/db/journals/wpc/wpc72.html#SunWGZX13
https://link.springer.com/article/10.1007/s11277-013-1117-9/fulltext.html
https://link.springer.com/article/10.1007/s11277-013-1117-9

NON-LINEAR PRECODER WITH SEPARATE TRACKING

Non-linear precoder with separate modulo decision

NON-LINEAR PRECODER WITH SEPARATE MODULO DECISION

Robust Non-linear Precoder for Multiuser MISO Systems Based on Delay and Channel Quantization.

Autoren: Sun, Yanzhi Wu, Muqing Guo, Qilin et al.

Quelle: Wireless Personal Communications; Nov2013, Vol. 72 Issue 4, p1993-2014, 22p

Schlagwörter: MULTIUSER computer systems, SIMULATION methods & models, SIGNAL quantization, ALGORITHMS, TRANSMITTERS (Communication), PERMUTATIONS, FACTORIZATION

Signal processing for G.fast+.

Autoren: Mohseni, Mehdi Kerpez, Ken

Quelle: 2015 49th Asilomar Conference on Signals, Systems & Computers; 1/1/2015, p1734-1738, 5p

Partitioned Vector Quantization for MU-MIMO Downlink Broadcasting.

Autoren: Kibria, Mirza Golam Murata, Hidekazu Yoshida, Susumu et al.

Quelle: 2012 IEEE Vehicular Technology Conference (VTC Fall); 1/ 1/2012, p1-5, 5p

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

Autoren: Ramanathan, Srividhya Maria, Anto Bennet

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

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

Predistortion for hybrid digital/analog precoders

Predistortion For Hybrid Digital/Analog Precoders

Predistortion for hybrid digital/analog precoders

Predistortion For Hybrid Digital/Analog Precoders

Predistortion for hybrid digital/analog precoders

Frequency-Packed Faster-Than-Nyquist Signaling via Symbol-Level Precoding for Multiuser MISO Redundant Transmissions.

Autoren: Martins, Wallace Alves Chatzinotas, Symeon Ottersten, Bjorn

Quelle: IEEE Transactions on Wireless Communications; Oct2022, Vol. 21 Issue 10, p8660-8674, 15p

Energy Efficiency Maximization Precoding for Quantized Massive MIMO Systems.

Autoren: Choi, Jinseok Park, Jeonghun Lee, Namyoon

Quelle: IEEE Transactions on Wireless Communications; Sep2022, Vol. 21 Issue 9, p6803-6817, 15p

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

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

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

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

A Precoding Approach for Dual-Functional Radar-Communication System With One-Bit DACs.

Autoren: Yu, Xiaoyou Yang, Qi Xiao, Zhu et al.

Quelle: IEEE Journal on Selected Areas in Communications; Jun2022, Vol. 40 Issue 6, p1965-1977, 13p

Schlagwörter: BIT error rate, MIMO radar, DIGITAL-to-analog converters, MIMO systems, RADAR

Federated learning over wireless backhaul for distributed micro‐Doppler radars: Deep learning aided gradient estimation.

Autoren: Yang, Yunji Hong, Yong‐gi Park, Jaehyun

Quelle: IET Radar, Sonar & Navigation (Wiley-Blackwell); May2022, Vol. 16 Issue 5, p885-895, 11p

Schlagwörter: DEEP learning, TEACHING aids, RADAR, CONVOLUTIONAL neural networks, LEARNING strategies

Linear Precoder Design for Physical Layer Security via Reconfigurable Intelligent Surfaces

Autoren: H. Vincent Poor Gayan Amarasuriya Rafael F. Schaefer

Quelle: 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). :1-5

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://ieeexplore.ieee.org/document/9153886/
https://dblp.uni-trier.de/db/conf/spawc/spawc2020.html#AmarasuriyaSP20