Suchergebnisse - "digital precoder AND analog precoder~"

Efficient Security Architecture for Physical Layer in mmWave Communication Systems

Autoren: Wajdi Alhakami Hala S. El-Sayed Osama S. Faragallah et al.

Quelle: IEEE Access, Vol 10, Pp 113923-113934 (2022)

Schlagwörter: mmWave, secrecy rate, physical layer security, 0202 electrical engineering, electronic engineering, information engineering, digital precoder and analog precoder, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Eves, TK1-9971

Zugangs-URL: https://doaj.org/article/bdd5040b75ec4f0a9e8e34f85f247875

Hybrid Precoding Methods for mMIMO Vehicle-to-Vehicle System.

Autoren: Mudavath, Mahesh Srinu, Banoth Anumothu, Murali et al.

Quelle: Journal of Engineering Science & Technology Review. 2025, Vol. 18 Issue 3, p194-200. 7p.

Schlagwörter: *PHASE shifters, *ALGORITHMS, *SPEED, *HYBRID systems

Two-Stage Hybrid Precoding Algorithm Based on Switch Network for Millimeter Wave MIMO Systems.

Autoren: Fulai Liu Xiaodong Kan Xiaoyu Bai et al.

Quelle: Progress in Electromagnetics Research M; 2019, Vol. 77, p103-113, 11p

Schlagwörter: MIMO systems, RADIO frequency, PHASE shifters

Hybrid Beamforming via Fourth-Order Tucker Decomposition for Multiuser Millimeter-Wave Massive MIMO Systems.

Autoren: Dong, Haiyang Dou, Zheng

Quelle: Axioms (2075-1680); Sep2025, Vol. 14 Issue 9, p689, 18p

Schlagwörter: BEAMFORMING, MIMO systems, MILLIMETER waves, 6G networks, CHANNEL capacity (Telecommunications), NONCONVEX programming, MULTIUSER computer systems

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

Alternating Optimization Algorithms for Hybrid beamforming in mm wave MIMO systems

Autoren: null Srinivasa Rao Reddi

Quelle: Journal of Electrical Systems. 20:2747-2757

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences

A Tutorial on Extremely Large-Scale MIMO for 6G: Fundamentals, Signal Processing, and Applications.

Autoren: Wang, Zhe Zhang, Jiayi Du, Hongyang et al.

Quelle: IEEE Communications Surveys & Tutorials; 2024 Q3, Vol. 26 Issue 3, p1560-1605, 46p

A low-complexity iterative algorithm for multiuser millimeter-wave systems.

Autoren: Mulla, Mustafa Ulusoy, Ali Hakan Rizaner, Ahmet et al.

Quelle: Annals of Telecommunications; Feb2024, Vol. 79 Issue 1/2, p101-110, 10p

Low‐complexity unsupervised learning‐based hybrid precoding for massive MIMO systems.

Autoren: Liu, Xiang

Quelle: IET Communications (Wiley-Blackwell); Sep2023, Vol. 17 Issue 15, p1773-1779, 7p

Schlagwörter: MIMO systems, CONVOLUTIONAL neural networks, RADIO frequency, ANTENNAS (Electronics), COMPUTATIONAL complexity, VIDEO coding, ARTIFICIAL intelligence

Hybrid Precoder Design Based on mm-Wave MIMO System with GMD Method.

Autoren: Thurpati, Sammaiah Muthuchidambaranathan, P.

Quelle: Wireless Personal Communications; Apr2023, Vol. 129 Issue 4, p2891-2907, 17p

Schlagwörter: MIMO systems, SINGULAR value decomposition, ORTHOGONAL matching pursuit, HYBRID systems, RADIO frequency, SIGNAL-to-noise ratio, MATRIX decomposition

Intelligent channel estimation in millimeter wave massive MIMO communication system using hybrid deep learning with heuristic improvement.

Autoren: Suneetha, Nallamothu Satyanarayana, Penke

Quelle: International Journal of Communication Systems; 3/25/2023, Vol. 36 Issue 5, p1-30, 30p

Schlagwörter: CHANNEL estimation, DEEP learning, BLENDED learning, MIMO systems, MILLIMETER waves, HEURISTIC

Deep frameworks based on residual dense network and reinforcement learning for mmWave massive MIMO systems.

Autoren: Faragallah, Osama S. El‐sayed, Hala S. El‐Mashed, Mohamed G.

Quelle: International Journal of Communication Systems; Feb2023, Vol. 36 Issue 3, p1-22, 22p

Schlagwörter: REINFORCEMENT learning, MIMO systems, HIGH performance computing, CONVOLUTIONAL neural networks, MILLIMETER waves, DEEP learning, ANTENNAS (Electronics), LINEAR network coding

DECODE SIGNAL COMPENSATION IN A WIRELESS SYSTEM

An Efficient Machine Learning Based Precoding Algorithm for Millimeter-Wave Massive MIMO.

Autoren: Shahjehan, Waleed Ullah, Abid Shah, Syed Waqar et al.

Quelle: Computers, Materials & Continua; 2022, Vol. 71 Issue 3, p5399-5411, 13p

Schlagwörter: MIMO systems, MACHINE learning, MILLIMETER waves, ANTENNA arrays, TELECOMMUNICATION systems, DATA transmission systems, MOBILE communication systems

Decode signal compensation in a wireless system

Unfolded Hybrid Beamforming With GAN Compressed Ultra-Low Feedback Overhead.

Autoren: Balevi, Eren Andrews, Jeffrey G.

Quelle: IEEE Transactions on Wireless Communications; Dec2021, Vol. 20 Issue 12, p8381-8392, 12p

Deep Learning-Based CSI Feedback for Beamforming in Single- and Multi-Cell Massive MIMO Systems.

Autoren: Guo, Jiajia Wen, Chao-Kai Jin, Shi

Quelle: IEEE Journal on Selected Areas in Communications; Jul2021, Vol. 39 Issue 7, p1872-1884, 13p

Schlagwörter: MIMO systems, DEEP learning, BEAMFORMING, LEARNING strategies

DECODE SIGNAL COMPENSATION IN A WIRELESS SYSTEM

Machine-learning-based high-resolution DOA measurement and robust directional modulation for hybrid analog-digital massive MIMO transceiver.

Autoren: Zhuang, Zhihong Xu, Ling Li, Jiayu et al.

Quelle: SCIENCE CHINA Information Sciences; Aug2020, Vol. 63 Issue 8, p1-16, 16p

Energy-Efficient Hybrid Precoding for Massive MIMO mmWave Systems With a Fully-Adaptive-Connected Structure.

Autoren: Xue, Xuan Wang, Yongchao Yang, Long et al.

Quelle: IEEE Transactions on Communications; Jun2020, Vol. 68 Issue 6, p3521-3535, 15p

Schlagwörter: MIMO systems, RADIO antennas, ENERGY consumption, RADIO frequency, ANTENNA arrays, MILLIMETER waves