Wireless Communications and Mobile Computing

Emerging Trends and Challenges in Knowledge Defined Networking for 5G


Publishing date
01 Jul 2021
Status
Closed
Submission deadline
12 Mar 2021

Lead Editor

1Kennesaw State University, Kennesaw, USA

2Indian Institute of Technology, Indore, India

3Harbin Institute of Technology, Harbin, China

This issue is now closed for submissions.
More articles will be published in the near future.

Emerging Trends and Challenges in Knowledge Defined Networking for 5G

This issue is now closed for submissions.
More articles will be published in the near future.

Description

As the core of the next generation of communication, 5G delivers a transformative solution to an ultimate high-quality end-user experience. It supports various innovations and applications and helps develop new business models and services. Such a high-speed, high-capacity, low-latency 5G networks can well meet the demands of increasing data-intensive applications in the current IoT and AI era. 5G and related techniques also support a massive number of devices that can simultaneously access the system and directly improve the quality of customer service. Its gigabit speeds, highly-improved network performance, and reliability characteristics are motivating several research directions and applications from both industry and academia, and it is expected that current network architectures can make the changes to support 5G accordingly.

Meanwhile, increasing research based on artificial intelligence techniques is being investigated, such as recent solutions for intelligent network monitoring, automatic resource allocation, or learning-based congestion control. Furthermore, such successful attempts motivate a novel concept referred to as ‘knowledge defined networking’. Instead of using an AI-supported solution to deal with a single network scenario, knowledge defined networking aims to shift the entire network design towards self-consciousness and self-management. Knowledge defined networking could be a bridge to combine network information from various aspects. Such an intelligent control loop will provide automation, recommendation, optimization, validation, and estimation to resolve the technical challenges that 5G brings.

The aim of this Special Issue is to collate articles related to knowledge defined networking for 5G. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • Knowledge defined network architecture, protocol, and resource management solutions for 5G
  • Automatic topology reconfiguration for 5G
  • Novel network monitoring solutions based on SDN for 5G
  • Machine learning-based solutions for 5G network slicing
  • Knowledge defined networking-based data center network resource management and routing optimization for 5G
  • AI-assisted knowledge defined networking orchestration for 5G
  • Knowledge defined networking-based network function virtualization
  • Knowledge defined networking-based solutions for network scheduling
  • Knowledge defined networking-supported solutions to defend security threats in 5G

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 6629852
  • - Research Article

DDPG-Based Energy-Efficient Flow Scheduling Algorithm in Software-Defined Data Centers

Zan Yao | Ying Wang | ... | Peng Yu
  • Special Issue
  • - Volume 2021
  • - Article ID 9919541
  • - Research Article

A Mobility-Aware and Sociality-Associate Computation Offloading Strategy for IoT

Yanfei Lu | Zengzi Chen | ... | Jin Qian
  • Special Issue
  • - Volume 2021
  • - Article ID 6622947
  • - Research Article

Privacy-Aware Online Task Offloading for Mobile-Edge Computing

Dali Zhu | Ting Li | ... | Yinlong Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 5532939
  • - Research Article

Hybrid Precoding Algorithm for Millimeter-Wave Massive MIMO Systems with Subconnection Structures

Xue Zhang | Feng Zhao
  • Special Issue
  • - Volume 2021
  • - Article ID 6625899
  • - Research Article

Dual-Level Attention Based on a Heterogeneous Graph Convolution Network for Aspect-Based Sentiment Classification

Peng Yuan | Lei Jiang | ... | Yang Gao
  • Special Issue
  • - Volume 2021
  • - Article ID 6668984
  • - Research Article

Optimize the Communication Cost of 5G Internet of Vehicles through Coherent Beamforming Technology

Lan Wu | Juan Xu | ... | Wenwen Zhou
  • Special Issue
  • - Volume 2021
  • - Article ID 5528522
  • - Research Article

Dynamically Subarray-Connected Hybrid Precoding Scheme for Multiuser Millimeter-Wave Massive MIMO Systems

Guangyan Liao | Feng Zhao
  • Special Issue
  • - Volume 2021
  • - Article ID 6631752
  • - Research Article

Multijob Associated Task Scheduling for Cloud Computing Based on Task Duplication and Insertion

Lei Shi | Jing Xu | ... | Yuqi Fan
  • Special Issue
  • - Volume 2021
  • - Article ID 8834879
  • - Research Article

Min--Cut Coalition Structure Generation on Trust-Utility Relationship Graph

XiangLong Kong | XiangRong Tong | YingJie Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 6640667
  • - Research Article

SDRM-LDP: A Recommendation Model Based on Local Differential Privacy

Gesu Li | Guisheng Yin | ... | Fukun Chen
Wireless Communications and Mobile Computing
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