Results 51 to 60 of about 7,667 (173)

Hybrid Precoding for Multi-Group Physical Layer Multicasting

, 2017
Next generation of wireless networks will likely rely on large-scale antenna systems, either in the form of massive multi-input-multi-output (MIMO) or millimeter wave (mmWave) systems. Therefore, the conventional fully-digital precoders are not suitable for physical layer multicasting as they require a dedicated radio frequency chain per antenna ...
Sadeghi, Meysam, Sanguinetti, Luca, Yuen, Chau   +2 more
openaire   +3 more sources

Spatially Sparse Precoding in Millimeter Wave MIMO Systems

, 2013
Millimeter wave (mmWave) signals experience orders-of-magnitude more pathloss than the microwave signals currently used in most wireless applications.
Abu-Surra, Shadi, Ayach, Omar El, Heath Jr, Robert W., Pi, Zhouyue, Rajagopal, Sridhar   +4 more
core   +1 more source

Modeling and Optimization of Frequency‐Doubled Radio‐Over‐Fiber Link Based on Deep Learning Technique

Advanced Photonics Research, Volume 7, Issue 3, March 2026.
This article proposes a deep learning (DL) approach for modeling and optimizing frequency‐doubled radio‐over‐fiber links. By collectively replacing traditional components with DL model, accurate system evaluation is achieved. Moreover, through an end‐to‐end architecture, performance optimization is accomplished.
Difei Shi, Xiangyan Meng, Hanxin Chen, Wei Li   +3 more
wiley   +1 more source

Evaluation of multi‐user multiple‐input multiple‐output digital beamforming algorithms in B5G/6G low Earth orbit satellite systems

International Journal of Satellite Communications and Networking, Volume 44, Issue 1, Page 17-33, January/February 2026.
In this paper, we investigate the application of signal‐to‐leakage‐plus‐noise ratio (SLNR) beamforming to low Earth orbit non‐terrestrial networks. The SLNR criterion aims at maximizing the received desired signal power for each user while minimizing the overall interference power caused by each user to all other co‐channel receivers. We show that such
M. Rabih Dakkak, Daniel Gaetano Riviello, Alessandro Guidotti, Alessandro Vanelli‐Coralli   +3 more
wiley   +1 more source

Adaptive gradient algorithm for hybrid precoding in mmWave MIMO system

Tongxin xuebao, 2021
To reduce the complexity of existing hybrid precoding algorithms based on alternating minimization (AltMin) and online learning via gradient descent with momentum in mmWave MIMO systems, aiming at the single-user scenario, the problem of designing the ...
Yu ZHANG, Zhi ZHANG, Xiaodai DONG
doaj   +2 more sources

Low Complexity Hybrid Precoding for Broadband mmWave Massive MIMO Systems

Advances in Electrical and Computer Engineering, 2018
Hybrid precoding becomes a candidate for Millimeter wave (mmWave) massive MIMO (Multiple-Input and Multiple-Output) systems because it can extremely reduce power consumption and high costs.
HUANG, Y., LIU, C., SONG, Y.
doaj   +1 more source

Hybrid MMSE Precoding and Combining Designs for mmWave Multiuser Systems

IEEE Access, 2017
Hybrid analog/digital precoding architectures are a low-complexity alternative for fully digital precoding in millimeter-wave (mmWave) MIMO wireless systems.
Duy H. N. Nguyen, Long Bao Le, Tho Le-Ngoc, Robert W. Heath   +3 more
doaj   +1 more source

Joint Decision‐Making for UAV Deployment and Computational Offloading Optimized for Energy Consumption and Latency in Space‐Air‐Ground Integrated Networks

IET Communications, Volume 20, Issue 1, January/December 2026.
Within the framework of integrated space‐air‐ground edge computing networks, this paper investigates the joint optimization of task allocation, user‐UAV association, UAV deployment, and computation resource allocation between UAVs and the LEO satellite.
Tengda Huang, Tao Hu, Di Wu, Wenzhi Zhao
wiley   +1 more source

Decentralized Hybrid Precoding for Massive Mu-Mimo Isac

ICC 2025 - IEEE International Conference on Communications
Integrated sensing and communication (ISAC) is a very promising technology designed to provide both high rate communication capabilities and sensing capabilities. However, in Massive Multi User Multiple-Input Multiple-Output (Massive MU MIMO-ISAC) systems, the dense user access creates a serious multi-user interference (MUI) problem, leading to ...
Zhu, Jun, Xu, Yin, He, Dazhi, Li, Haoyang, Guan, YunFeng, Zhang, Wenjun   +5 more
openaire   +2 more sources

Learn to Rapidly and Robustly Optimize Hybrid Precoding

IEEE Transactions on Communications, 2023
Hybrid precoding plays a key role in realizing massive multiple-input multiple-output (MIMO) transmitters with controllable cost. MIMO precoders are required to frequently adapt based on the variations in the channel conditions. In hybrid MIMO, here precoding is comprised of digital and analog beamforming, such an adaptation involves lengthy ...
Ortal Lavi, Nir Shlezinger
openaire   +2 more sources