Scope of machine learning applications for addressing the challenges in next‐generation wireless networks

RK Samanta, B Sadhukhan… - CAAI Transactions …, 2022 - Wiley Online Library
The convenience of availing quality services at affordable costs anytime and anywhere
makes mobile technology very popular among users. Due to this popularity, there has been …

A comprehensive survey on machine learning using in software defined networks (SDN)

S Faezi, A Shirmarz - Human-Centric Intelligent Systems, 2023 - Springer
These days, Internet coverage and technologies are growing rapidly, hence, it makes the
network more complex and heterogeneous. Software defined network (SDN) revolutionized …

Traffic-aware dynamic controller placement in SDN using NFV

G Ramya, R Manoharan - The Journal of Supercomputing, 2023 - Springer
Abstract Software-Defined Networking (SDN) and Network Function Virtualization (NFV) are
promising technologies for delivering software-based networks to the user community. The …

Qualitative survey on artificial intelligence integrated blockchain approach for 6G and beyond

V Pathak, RJ Pandya, V Bhatia, OA Lopez - IEEE Access, 2023 - ieeexplore.ieee.org
Utilizing the 0.1 to 10 THz spectrum in the next-generation wireless communication networks
holds potential for futuristic applications. However, managing resources to accommodate …

基于AI 的无线网络感知技术研究综述.

章广梅 - Telecommunication Engineering, 2022 - search.ebscohost.com
在无线通信网络中使用感知技术, 可以从海量网络数据中提取所需特征信息,
以便实现网络的智能管理. 传统感知技术往往与感知对象密切相关, 依赖使用者的经验与知识 …

Machine learning with variable sampling rate for traffic prediction in 6G MEC IoT

R Peng, X Fu, T Ding - Discrete Dynamics in Nature and …, 2022 - Wiley Online Library
The high‐speed development of mobile broadband networks and IoT applications has
brought about massive data transmission and data processing, and severe traffic congestion …

Machine-learning-assisted failure prediction in microwave networks based on equipment alarms

F Lateano, O Ayoub, F Musumeci… - … Conference on the …, 2023 - ieeexplore.ieee.org
Modern microwave networks must cope with strict Quality of Services (QoS) requirements,
such as low latency, high bandwidth and high availability. As network failures can affect …

Machine-Learning-Based Traffic Classification in Software-Defined Networks

RH Serag, MS Abdalzaher, HAEA Elsayed, M Sobh… - Electronics, 2024 - mdpi.com
Many research efforts have gone into upgrading antiquated communication network
infrastructures with better ones to support contemporary services and applications. Smart …

[PDF][PDF] A Comparative Study of Machine Learning-based Approach for Network Traffic Classification.

K Trang, AH Nguyen - Knowl. Eng. Data Sci., 2021 - researchgate.net
The accelerated development of the Internet has led to a new era of humans in the last
decades. Nowadays, Internet applications are applied widely in different fields, including …

Fractional cuckoo search invasive weed optimized neural network for data classification

N Rathod, S Wankhade - Concurrency and Computation …, 2024 - Wiley Online Library
The progression of organizing and classifying data components based on pre‐established
criteria is known as data classification. In data classification problems, machine learning …