Results 21 to 30 of about 831,955 (292)

Self-Evolving Integrated Vertical Heterogeneous Networks

open access: yesIEEE Open Journal of the Communications Society, 2023
6G and beyond networks tend towards fully intelligent and adaptive design in order to provide better operational agility in maintaining universal wireless access and supporting a wide range of services and use cases while dealing with network complexity ...
Amin Farajzadeh   +3 more
doaj   +1 more source

Conical Double-Core Structure LPmn Mode Converter

open access: yesIEEE Photonics Journal, 2019
In this work, a LPmn mode converter is proposed based on a tapered double-core structure. With opposite changes of the two cores in radius dimension, matching the effective refractive index between the fundamental mode (LP01) in one core and one desired ...
Chuan Ma, Dongya Shen, Xiupu Zhang
doaj   +1 more source

Network Management in Heterogeneous IoT Networks

open access: yes2021 International Wireless Communications and Mobile Computing (IWCMC), 2021
Heterogeneous networks (hetnets) is an interconnection of distinctive networking paradigms to enable wider reachability and greater collaborations. In large Internet-of-Things (IoT) applications, many wireless networks are spatially co-located and intertwined forming hetnets; for instance, health monitoring devices utilising ZigBee or IEEE 802.15.4 co ...
Selvaraju, Shunmuga Priyan   +4 more
openaire   +3 more sources

Optimization of Pico-eNB Tx Power and the Effects of Picocell Range Expansion in Multiband HetNet

open access: yesJournal of Sensor and Actuator Networks, 2022
The use of heterogeneous networks (HetNets) that combine macrocells and picocells in the same coverage is effective in increasing system capacity and improving user throughput.
Takumi Yasaka   +2 more
doaj   +1 more source

On Heterogeneous Covert Networks [PDF]

open access: yesSSRN Electronic Journal, 2008
Covert organizations are constantly faced with a tradeoff between secrecy and operational efficiency. Lindelauf, Borm and Hamers (2008) developed a theoretical framework to deter- mine optimal homogeneous networks taking the above mentioned considerations explicitly into account.
Lindelauf, R.   +2 more
openaire   +5 more sources

Hete_MESE: Multi-Dimensional Community Detection Algorithm Based on Multiplex Network Extraction and Seed Expansion for Heterogeneous Information Networks

open access: yesIEEE Access, 2018
Most real-world information networks are heterogeneous, which contain multiple types of entities and relations between the entities. Large-scale and heterogeneity are the typical properties of heterogeneous information networks, and their community ...
Meilian Lu   +3 more
doaj   +1 more source

Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs [PDF]

open access: yes, 2017
Background: MicroRNAs (miRNAs) have been shown to play an important role in pathological initiation, progression and maintenance. Because identification in the laboratory of disease-related miRNAs is not straightforward, numerous network-based methods ...
Dinh-Toi Chu, Dinh-Toi Chu   +4 more
core   +2 more sources

Distributed Beamforming and Power Allocation for Heterogeneous Networks with MISO Interference Channel

open access: yesSensors, 2021
To address the limitations of centralized resource allocation, i.e., high computational complexity and signaling overhead, a distributed beamforming and power allocation strategy is proposed for heterogeneous networks with multiple-input-single-output ...
Kisong Lee
doaj   +1 more source

Semantic-aware Heterogeneous Graph Attention Network Based on Multi-view RepresentationLearning [PDF]

open access: yesJisuanji kexue
In recent years,graph neural networks have received widespread attention for their ability to efficiently process complex structures and rich semantic information in heterogeneous graphs.Learning low-dimensional node embeddings of heterogeneous graphs ...
WANG Jinghong, WU Zhibing, WANG Xizhao, LI Haokang
doaj   +1 more source

Prediction of lncRNA–Disease Associations via Closest Node Weight Graphs of the Spatial Neighborhood Based on the Edge Attention Graph Convolutional Network

open access: yesFrontiers in Genetics, 2022
Accumulated evidence of biological clinical trials has shown that long non-coding RNAs (lncRNAs) are closely related to the occurrence and development of various complex human diseases.
Jianwei Li   +5 more
doaj   +1 more source

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