Results 41 to 50 of about 824 (179)

Effective Supertwist SMC for Alleviating Torsional Disturbances and Stick–Slip Phenomena in Drill‐Strings

open access: yesIET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
In this study, we utilise a lumped‐parameter model to analyse the twisting dynamics of the drill string with four degrees of freedom. To alleviate stick‐slip oscillations, reduce bit sticking in vertical oil‐well drill strings and diminish saturation effects on control performance, composite nonlinear feedback is used with a supertwist integral sliding
Saeed Amiri   +3 more
wiley   +1 more source

Deep‐Learned Channel Estimation for MIMO‐OFDM System by Exploiting Frequency‐Space Correlation

open access: yesElectronics Letters, Volume 62, Issue 1, January/December 2026.
In massive MIMO–OFDM systems, accurate channel state information acquisition is vital for reliable transmission. Traditional methods fail to fully exploit sparse channel correlation, so an attentive residual autoencoder network is proposed. It uses an autoencoder with attention and residual connections to capture frequency–space correlation, and ...
Yiming Wei   +5 more
wiley   +1 more source

Multiuser Heterogeneous-SNR MIMO Systems

open access: yesKSII Transactions on Internet and Information Systems, 2014
Previous studies on multiuser multiple-input multiple-output (MIMO) mostly assume a homogeneous signal-to-noise ratio (SNR), where each user has the same average SNR. However, real networks are more likely to feature heterogeneous SNRs (a random-valued average SNR).
openaire   +1 more source

A Multiagent Deep Reinforcement Learning Scheme for Energy Use Optimization in UAV‐Enabled Wireless Networks With Reconfigurable Intelligent Surfaces

open access: yesInternational Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
This work introduces a multiagent deep reinforcement learning (MADRL) framework for energy harvesting (EH) in unmanned aerial vehicle (UAV) networks aided by reconfigurable intelligent surfaces (RIS). The core goal is to maximize quantities of harvested energy subject to quality of service (QoS) constraints in dynamic wireless setups.
Syed Mohsin Bokhari   +5 more
wiley   +1 more source

Performance Analysis for Linearly Precoded LTE Downlink Multiuser MIMO

open access: yesEURASIP Journal on Wireless Communications and Networking, 2011
The average channel capacity and the SINR distribution for multiuser multiple input multiple output (MIMO) systems in combination with the base station based packet scheduler are analyzed in this paper.
Xiao Pei, Lin Zihuai, Wu Yi
doaj  

Blind Multiuser Detection by Kurtosis Maximization for Asynchronous Multirate DS/CDMA Systems

open access: yesEURASIP Journal on Advances in Signal Processing, 2006
Chi et al. proposed a fast kurtosis maximization algorithm (FKMA) for blind equalization/deconvolution of multiple-input multiple-output (MIMO) linear time-invariant systems.
Peng Chun-Hsien   +2 more
doaj   +1 more source

Novel Chaos Secure Communication System Based on Walsh Code

open access: yesJournal of Electrical and Computer Engineering, 2015
A multiuser communication scheme which is a hybrid of Walsh code with DCSK and CDSK is proposed to improve low data transmission rate of Differential Chaos Shift Keying (DCSK), poor bit error ratio (BER) performance of Correlation Delay Shift Keying ...
Gang Zhang, Niting Cui, Tianqi Zhang
doaj   +1 more source

Performance Analysis of Power Control Algorithms in Uplink Cell‐Free Massive MIMO Systems

open access: yesJournal of Engineering, Volume 2026, Issue 1, 2026.
Cellular massive multiple input multiple output (MIMO) technology has revolutionized wireless communication by enhancing spectral efficiency (SE). However, its ability to meet the growing data rate demands of future networks beyond fifth generation (5G) is limited by challenges like intercell interference.
Abera Sitotaw Mersha   +3 more
wiley   +1 more source

Advanced AI‐Based Energy Efficiency and Network Performance Optimization in Next‐Generation Wireless Systems Using Distributed Collective Intelligence

open access: yesJournal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
This paper proposes a new framework combining distributed collective intelligence and deep neural networks (DNNs) for multiobjective optimization in wireless systems of future generation. This paper mitigates some of those disadvantages by proposing a distributed consensus algorithm that incorporates predictive energy allocation and power‐based ...
Mohammed Aboud Kadhim   +3 more
wiley   +1 more source

Design of Joint Spatial and Power Domain Multiplexing Scheme for Massive MIMO Systems

open access: yesInternational Journal of Antennas and Propagation, 2015
Massive Multiple-Input Multiple-Output (MIMO) is one of the key techniques in 5th generation wireless systems (5G) due to its potential ability to improve spectral efficiency. Most of the existing works on massive MIMO only consider Time Division Duplex (
Zheng Jiang   +4 more
doaj   +1 more source

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