A survey on controller placement in SDN

T Das, V Sridharan, M Gurusamy - … communications surveys & …, 2019 - ieeexplore.ieee.org
In recent years, Software Defined Networking (SDN) has emerged as a pivotal element not
only in data-centers and wide-area networks, but also in next generation networking …

Big data analysis based network behavior insight of cellular networks for industry 4.0 applications

D Jiang, Y Wang, Z Lv, S Qi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this article, we propose a big data based analysis framework to analyze and extract
network behaviors in cellular networks for Industry 4.0 applications from a big data …

Big data driven mobile traffic understanding and forecasting: A time series approach

F Xu, Y Lin, J Huang, D Wu, H Shi… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Understanding and forecasting mobile traffic of large scale cellular networks is extremely
valuable for service providers to control and manage the explosive mobile data, such as …

Spatio-temporal analysis and prediction of cellular traffic in metropolis

X Wang, Z Zhou, F Xiao, K Xing, Z Yang… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Understanding and predicting cellular traffic at large-scale and fine-granularity is beneficial
and valuable to mobile users, wireless carriers, and city authorities. Predicting cellular traffic …

Understanding mobile traffic patterns of large scale cellular towers in urban environment

F Xu, Y Li, H Wang, P Zhang… - IEEE/ACM transactions on …, 2016 - ieeexplore.ieee.org
Understanding mobile traffic patterns of large scale cellular towers in urban environment is
extremely valuable for Internet service providers, mobile users, and government managers …

Heuristic edge server placement in industrial internet of things and cellular networks

SK Kasi, MK Kasi, K Ali, M Raza, H Afzal… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Rapid developments in industry 4.0, machine learning, and digital twins have introduced
new latency, reliability, and processing restrictions in Industrial Internet of Things (IIoT) and …

Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction

AC Cullen, BIP Rubinstein, S Kandeepan… - Artificial Intelligence …, 2023 - Springer
The advent of the Internet of Things and 5G has further accelerated the growth in devices
attempting to gain access to the wireless spectrum. A consequence of this has been the …

Understanding mobile traffic patterns of large scale cellular towers in urban environment

H Wang, F Xu, Y Li, P Zhang, D Jin - Proceedings of the 2015 Internet …, 2015 - dl.acm.org
Understanding mobile traffic patterns of large scale cellular towers in urban environment is
extremely valuable for Internet service providers, mobile users, and government managers …

Energy-efficient access-point sleep-mode techniques for cell-free mmWave massive MIMO networks with non-uniform spatial traffic density

J García-Morales, G Femenias, F Riera-Palou - IEEE access, 2020 - ieeexplore.ieee.org
Cell-free massive multiple-input multiple-output (MIMO) is a novel beyond 5G (B5G) and 6G
paradigm that, through the use of a common central processing unit (CPU), coordinates a …

The learning and prediction of application-level traffic data in cellular networks

R Li, Z Zhao, J Zheng, C Mei, Y Cai… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Traffic learning and prediction is at the heart of the evaluation of the performance of
telecommunications networks and attracts a lot of attention in wired broadband networks …