Results 71 to 80 of about 637,438 (171)
Development of Efficient Orthogonal Space Time Block Coding in Massive MIMO Systems
The fifth generation (5G) of wireless networks is cantered on meeting soaring data demands through innovative technologies, among which multiple-input multiple-output (MIMO) systems have emerged as pivotal.
Derbash, M.
core +1 more source
CNN‐DDQN Spatial Learning for Fractional Frequency Reuse Optimization in 5G Heterogeneous Networks
Engineering Reports, Volume 8, Issue 7, July 2026.This study proposes a spatially aware DRL framework that uses multichannel network‐state tensors and a lightweight CNN‐DDQN architecture to capture interference patterns and user clustering in 5G heterogeneous networks (HetNets). The model is computationally efficient with only 7361 trainable parameters, achieving 115× faster execution and < 10 ms ...
Christian Onu +9 more
wiley +1 more source
Massive MIMO channels - measurements and models [PDF]
, 2013 Spatial multiplexing using Massive MIMO has been shown to have very promising properties, including large gains in spectral efficiency and several orders of magnitude lower transmit power, as compared to today's access schemes.
Xiang Gao +9 more
core +1 more source
International Journal of Satellite Communications and Networking, Volume 44, Issue 4, Page 378-393, July/August 2026.ABSTRACT This study analyzes the architecture of the beyond 5G‐NTN (Non‐terrestrial Network) integrated network and presents the technical, legal, and regulatory challenges and considerations for expanding the Artificial Intelligence of Things (AIoT) ecosystem.
Byung Woon Kim, Ga Eun Choi
wiley +1 more source
Infants and Mobiles: Developing an Understanding of Cause and Effect
Developmental Science, Volume 29, Issue 4, July 2026.ABSTRACT In the mobile conjugate reinforcement paradigm, an infant's leg is connected to a mobile via a string, allowing the infant to move the mobile via moving their leg. Over a few minutes, infants exhibit an increase in the frequency of movement of the connected leg.
Xia Xu, Jochen Triesch
wiley +1 more source
Massive MIMO Channel Models: A Survey [PDF]
, 2014 The exponential traffic growth of wireless communication networks gives rise to both the insufficient network capacity and excessive carbon emissions. Massive multiple-input multiple-output (MIMO) can improve the spectrum efficiency (SE) together with ...
Kan Zheng, Xuefeng Yin, Suling Ou
core +1 more source
Joint user grouping and antenna selection based massive MIMO beamforming
Dianxin kexue, 2016 In massive MIMO systems，when the number of users is larger as that of antennas at base station（BS），the various channels may be significantly different.A new zero-forcing beamformer design algorithm was proposed based on joint user grouping and antenna ...
Qian WANG +3 more
doaj +2 more sources
An overview of the CSI feedback based on deep learning for massive MIMO systems
物联网学报, 2020 The massive multiple-input multiple-output (MIMO) technology is considered to be one of the core technologies of the next generation communication system.To fully utilize the potential gains of MIMO systems,the base station should accurately acquire the ...
Muhan CHEN, Jiajia GUO, Xiao LI, Shi JIN
doaj +2 more sources
Advanced Functional Materials, Volume 36, Issue 52, 29 June 2026.Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son +5 more
wiley +1 more source
A Joint Channel Modeling, Parameter Estimation and Geometry‐Based Indoor Localization for 5G Systems
Transactions on Emerging Telecommunications Technologies, Volume 37, Issue 6, June 2026.We propose an end‐to‐end method to accurately localize mobile stations in indoor scenarios, such as those found in Industry 4.0. To this end, we jointly perform wireless channel modeling considering mmWave and MIMO technologies, parameter estimation in 3D, and simple and fine‐grained geometry‐based localization.
Paulo Francisco da Conceição +2 more
wiley +1 more source