Results 41 to 50 of about 5,070,983 (261)

A Random Access Protocol for Pilot Allocation in Crowded Massive MIMO Systems [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2016
The massive multiple-input multiple-output (MIMO) technology has great potential to manage the rapid growth of wireless data traffic. Massive MIMO achieves tremendous spectral efficiency by spatial multiplexing many tens of user equipments (UEs).
Emil Björnson   +4 more
semanticscholar   +1 more source

An Efficient Reactive Power Control Method for Power Network Systems with Solar Photovoltaic Generators Using Sparse Optimization

open access: yesEnergies, 2017
With the incremental introduction of solar photovoltaic (PV) generators into existing power systems, and their fast-growing share in the gross electricity generation, system voltage stability has become a critical issue.
Yu Li, Masato Ishikawa
doaj   +1 more source

Performance Analysis of Resource Allocation in THz-Based Subcarrier Index Modulation Systems for Mobile Users

open access: yesIEEE Access, 2021
The recent demand for connections to a huge number of users with very high data rates have motivated research communities to investigate communications into the higher frequency bands, such as millimeter waves and TeraHertz (THz) bands.
Mohannad Alzard   +3 more
doaj   +1 more source

Optimal Power Allocation for Artificial Noise Under Imperfect CSI Against Spatially Random Eavesdroppers [PDF]

open access: yesIEEE Transactions on Vehicular Technology, 2016
In this paper, we study the secure multiantenna transmission with artificial noise (AN) under imperfect channel state information (CSI) in the presence of spatially randomly distributed eavesdroppers.
Tongxing Zheng, Huiming Wang
semanticscholar   +1 more source

Clinical Trial

open access: yesفصلنامه دانشگاه علوم پزشکی جهرم, 2021
Introduction: Clinical trials are a common type of medical research that has grown in number over the past decade. Intervention studies or trials are the most authoritative type of epidemiological studies and provide the strongest evidence of causation ...
razieh zahedi   +2 more
doaj  

Study designs: Part 5 – interventional studies (II)

open access: yesPerspectives in Clinical Research, 2019
In the fifth piece of this series on research study designs, we continue the discussion on interventional studies (clinical trials), in which the investigator decides whether or not a particular participant receives the exposure (or intervention).
Rakesh Aggarwal, Priya Ranganathan
doaj   +1 more source

The Optimality of Blocking Designs in Equally and Unequally Allocated Randomized Experiments with General Response [PDF]

open access: yesarXiv, 2022
We consider the performance of the difference-in-means estimator in a two-arm randomized experiment under common experimental endpoints such as continuous (regression), incidence, proportion and survival. We examine performance under both equal and unequal allocation to treatment groups and we consider both the Neyman randomization model and the ...
arxiv  

Mentalization-based therapy for parents in entrenched conflict: A random allocation feasibility study.

open access: yesPsychotherapy, 2016
To explore the effectiveness of a mentalization-based therapeutic intervention specifically developed for parents in entrenched conflict over their children.
Leezah Hertzmann   +5 more
semanticscholar   +1 more source

An Underwater Cooperative Spectrum Sharing Protocol for a Centralized Underwater Cognitive Acoustic Network

open access: yesSensors, 2022
To efficiently utilize nonexclusive underwater acoustic frequencies, we propose an Underwater Cooperative Spectrum Sharing (UCSS) protocol for a centralized underwater cognitive acoustic network that mainly consists of two parts.
Changho Yun
doaj   +1 more source

Using an incomplete block design to allocate lines to environments improves sparse genome‐based prediction in plant breeding

open access: yesThe Plant Genome, 2022
Genomic selection (GS) is a predictive methodology that trains statistical machine‐learning models with a reference population that is used to perform genome‐enabled predictions of new lines.
Osval Antonio Montesinos‐Lopez   +5 more
doaj   +1 more source

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