Coordinated multi-point clustering schemes: A survey

S Bassoy, H Farooq, MA Imran… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Mobile data traffic grew by 74% in 2015 and it is expected to grow eight-fold by 2020. Future
wireless networks will need to deploy massive number of small cells to cope with this …

Urban sensing based on mobile phone data: Approaches, applications, and challenges

M Ghahramani, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Data volume grows explosively with the proliferation of powerful smartphones and
innovative mobile applications. The ability to accurately and extensively monitor and …

On removing routing protocol from future wireless networks: A real-time deep learning approach for intelligent traffic control

F Tang, B Mao, ZM Fadlullah, N Kato… - IEEE Wireless …, 2017 - ieeexplore.ieee.org
Recently, deep learning has appeared as a breakthrough machine learning technique for
various areas in computer science as well as other disciplines. However, the application of …

EnLSTM-WPEO: Short-term traffic flow prediction by ensemble LSTM, NNCT weight integration, and population extremal optimization

F Zhao, GQ Zeng, KD Lu - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Accurate and stable short-term traffic flow prediction is an indispensable part in current
intelligent transportation systems. In this paper, a novel short-term traffic flow forecasting …

Variational Bayesian learning for Dirichlet process mixture of inverted Dirichlet distributions in non-Gaussian image feature modeling

Z Ma, Y Lai, WB Kleijn, YZ Song… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we develop a novel variational Bayesian learning method for the Dirichlet
process (DP) mixture of the inverted Dirichlet distributions, which has been shown to be very …

Big data driven hidden Markov model based individual mobility prediction at points of interest

Q Lv, Y Qiao, N Ansari, J Liu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
With the emergence of smartphones and location-based services, user mobility prediction
has become a critical enabler for a wide range of applications, like location-based …

Handover management in software-defined ultra-dense 5G networks

T Bilen, B Canberk, KR Chowdhury - IEEE Network, 2017 - ieeexplore.ieee.org
Ultra-densification is a key approach aimed at satisfying high data traffic in next-generation
5G networks. However, the high number of small cell eNB deployments in such ultra-dense …

Detection of low-frequency and multi-stage attacks in industrial internet of things

X Li, M Xu, P Vijayakumar, N Kumar… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The increasingly sophisticated cyber attacks have become a serious challenge for Industrial
Internet of Things (IIoT), which presents two new characteristics: low frequency and multi …

Big trajectory data: A survey of applications and services

X Kong, M Li, K Ma, K Tian, M Wang, Z Ning… - IEEE Access, 2018 - ieeexplore.ieee.org
The rapid development of wireless infrastructure and data acquisition technologies
contributes to the explosive growth of data, especially trajectory data with rich information …

Towards energy-efficient wireless networking in the big data era: A survey

X Cao, L Liu, Y Cheng, X Shen - … Communications Surveys & …, 2017 - ieeexplore.ieee.org
With the proliferation of wireless devices, wireless networks in various forms have become
global information infrastructure and an important part of our daily life, which, at the same …