Dual attention-based federated learning for wireless traffic prediction

C Zhang, S Dang, B Shihada… - IEEE INFOCOM 2021 …, 2021 - ieeexplore.ieee.org
Wireless traffic prediction is essential for cellular networks to realize intelligent network
operations, such as load-aware resource management and predictive control. Existing …

Cellular traffic prediction on blockchain-based mobile networks using LSTM model in 4G LTE network

V Kurri, V Raja, P Prakasam - Peer-to-Peer Networking and Applications, 2021 - Springer
The various demands from cellular users are increasing day by day. A tower can be selected
if the traffic through it at a specific time is predictable. Then a chosen set of issues can also …

Prediction of telecommunication network state based on knowledge graphs

K Krinkin, I Kulikov, A Vodyaho… - 2021 28th Conference of …, 2021 - ieeexplore.ieee.org
The article focuses on developing a new prediction method for telecommunications network
state based on knowledge graphs. The article analyses the prediction methods supported by …

Network Traffic Prediction for a Software Defined Network Based Virtualized Security Functions Platform

D Jayasinghe, WH Rankothge… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
Software-Defined Networking (SDN) has become a popular and widely used approach with
Cloud Service Providers (CSPs). With the introduction of Virtualized Security Functions …

[图书][B] Networks, Communication, and Computing Vol. 2

A Farago - 2021 - mdpi.com
Networks, Communication, and Computing Vol. 2 Networks, Communication, and Computing Vol.
2 Printed Edition of the Special Issue Published in Algorithms www. mdpi. com/journal/algorithms …