Dynamic clustering method based on power demand and information volume for intelligent and green IoT

A Mukherjee, P Goswami, L Yang, Z Yan… - Computer …, 2020 - Elsevier
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 …

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 …

Evaluation of the spatial consistency feature in the 3GPP geometry-based stochastic channel model

M Kurras, S Dai, S Jaeckel… - 2019 IEEE Wireless …, 2019 - ieeexplore.ieee.org
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 …

Energy-efficient dynamic clustering for IoT applications: A neural network approach

L Manman, Q **n, P Goswami… - 2020 IEEE Eighth …, 2020 - ieeexplore.ieee.org
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 …

On-demand efficient clustering for next generation IoT applications: A hybrid NN approach

A Mukherjee, DK Jain, L Yang - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

Evaluation of the spatial consistency feature in the 3GPP GSCM channel model

M Kurras, S Dai, S Jaeckel, L Thiele - arxiv preprint arxiv:1808.03549, 2018 - arxiv.org
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 …

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 …