Dynamic clustering method based on power demand and information volume for intelligent and green IoT
Abstract The Internet of Things (IoT) is an integrated part of the future network which requires
comprehensive awareness, reliable delivery and intelligent processing. Therefore, it faces …
comprehensive awareness, reliable delivery and intelligent processing. Therefore, it faces …
An efficiency-improved clustering algorithm based on KNN under ultra-dense network
Y Liang, C Sun, J Jiang, X Liu, H He, Y **e - IEEE Access, 2020 - ieeexplore.ieee.org
Ultra-Dense Network (UDN) is one of the key techniques for the next generation of mobile
network due to providing high system throughput. However, severe interference often occurs …
network due to providing high system throughput. However, severe interference often occurs …
Evaluation of the spatial consistency feature in the 3GPP geometry-based stochastic channel model
Spatial consistency, meaning the spatial correlation of small scale fading, is a recently
added feature in the geometry-based stochastic channel model used by 3rd Generation …
added feature in the geometry-based stochastic channel model used by 3rd Generation …
Energy-efficient dynamic clustering for IoT applications: A neural network approach
The Internet of Things (IoT) realizes the interconnection of different paradigms in information
technologies along with their connectivity. With its evolution, the cost and energy efficiency …
technologies along with their connectivity. With its evolution, the cost and energy efficiency …
On-demand efficient clustering for next generation IoT applications: A hybrid NN approach
The internet-of-things (IoT) extends the traditional Internet and realizes the interconnection
of all things in a smart way. With the rapid development of 5G and beyond communication …
of all things in a smart way. With the rapid development of 5G and beyond communication …
A clustering algorithm using skewness-based boundary detection
X Li, Q Han, B Qiu - Neurocomputing, 2018 - Elsevier
Clustering analysis has been applied in all aspects of data mining. Density-based and grid-
based clustering algorithms are used to form clusters from the core points or dense grids to …
based clustering algorithms are used to form clusters from the core points or dense grids to …
Spatial consistency validation on massive SIMO covariance matrices in the geometry-based stochastic channel model QuaDRiGa
S Dai, N Abdellatif, M Kurras… - WSA 2020; 24th …, 2020 - ieeexplore.ieee.org
In the fifth generation (5G) of cellular networks, massive multiple-input multiple-output
(MIMO) has surged as a key technique. The time-invariant feature of the channels in a …
(MIMO) has surged as a key technique. The time-invariant feature of the channels in a …
Analyzing V2I Channel and Spatial Consistency through Simulation
M Liu, Y Wang, H Li, Y **g, G Zhang… - 2021 7th International …, 2021 - ieeexplore.ieee.org
With the development of the vehicle to infrastructure (V2I) communication technology, the
traditional wireless channel model can not match the highly dynamic environment of the …
traditional wireless channel model can not match the highly dynamic environment of the …
Evaluation of the spatial consistency feature in the 3GPP GSCM channel model
Since the development of 4G networks, Multiple-Input Multiple-Output (MIMO) and later
multiple-user MIMO became a mature part to increase the spectral efficiency of mobile …
multiple-user MIMO became a mature part to increase the spectral efficiency of mobile …
An improved LBG algorithm for user clustering in ultra-dense network
Y Liang, Y Liu, C Sun, X Liu, J Jiang, Y Gao… - Proceedings of the Fifth …, 2019 - Springer
A novel LBG-based user clustering algorithm is proposed to reduce interference efficiently in
Ultra-Dense Network (UDN). There are two stages, weight design and user clustering …
Ultra-Dense Network (UDN). There are two stages, weight design and user clustering …