Wireless Communications and Mobile Computing

Artificial Intelligence for Wireless Communications and Control Networks


Publishing date
01 Aug 2022
Status
Published
Submission deadline
01 Apr 2022

Lead Editor

1Guangzhou University, Guangzhou, China

2Beijing Jiaotong University, Beijing, China

3Aristotle University of Thessaloniki, Thessaloniki, Greece


Artificial Intelligence for Wireless Communications and Control Networks

Description

The fifth generation (5G) of wireless networks is currently being deployed. Both industry and academia have started to look beyond the 5G, with the aim to increase the networks’ capabilities to serve a massive amount of diversified mobile applications, especially those supported by artificial intelligence, such as intelligent industry and self-driving vehicles.

The performance of such application depends on the intelligent trade-off among computational accuracy, latency, and efficient use of available resources. From this perspective, the wireless networks beyond the 5G are envisioned to significantly extend wireless network depth from single information transmission to intelligent information transmission, storage, and processing, which will maximize the overall performance and quality of experience for various services and applications. Therefore, the study of intelligent wireless communication and control becomes of importance. Moreover, the designed techniques and protocols should be flexible enough to meet the requirements of different verticals (e.g., in terms of connectivity, latency, security, energy efficiency, and reliability).

The aim of this Special Issue is to bring together original research that discuss artificial intelligence for 5G communications and beyond. Submissions should also include artificial intelligence for control networks. Review articles discussing the state of the art are also welcome.

Potential topics include but are not limited to the following:

  • Joint communication, computing, and storage resources allocation
  • Computation oriented communications
  • Artificial intelligence for the convergence of communications, storage, and computing resources
  • Distributed artificial intelligence and federated learning in wireless networks
  • Wireless data offloading
  • Energy efficient scheduling for Internet of Things applications
  • Low latency in wireless networked control systems
  • Multiple access protocols in systems with distributed computing resources
  • Cloud and fog computing-based radio access networks
  • Cross-layer based security management
  • Wireless networks with multidimensional radio access and backhaul technologies
  • Optimization of communication, storage, and computing resources in hybrid terrestrial-aerial networks
  • Optimization of computing and storage resources for energy harvesting systems (e.g., with wireless power transfer)

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 6309958
  • - Research Article

Virtual Adversarial Training-Based Semisupervised Specific Emitter Identification

CunXiang Xie | LiMin Zhang | ZhaoGen Zhong
  • Special Issue
  • - Volume 2022
  • - Article ID 3580376
  • - Research Article

Application of Multiparameter Kalman Filter in Ultrasonic Water Meter

Fuqiang Zuo | Yu Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 8000869
  • - Research Article

Denial-of-Service Attack Detection over IPv6 Network Based on KNN Algorithm

Yasser Alharbi | Ali Alferaidi | ... | Sandeep Kautish
  • Special Issue
  • - Volume 2021
  • - Article ID 3834550
  • - Research Article

Interior Design Scheme Recommendation Method Based on Improved Collaborative Filtering Algorithm

Wei He
  • Special Issue
  • - Volume 2021
  • - Article ID 5344890
  • - Research Article

Human Detection via Image Denoising for 5G-Enabled Intelligent Applications

Hui Li | Hang Zhou | ... | Ying Guo
  • Special Issue
  • - Volume 2021
  • - Article ID 6013448
  • - Research Article

Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples

Ahsan Bin Tufail | Inam Ullah | ... | Md. Sadek Ali
  • Special Issue
  • - Volume 2021
  • - Article ID 6043391
  • - Research Article

A General Order Reduction Method of Wideband Digital Predistortion Model Using Attention Mechanism

Zhijun Liu | Xin Hu | Weidong Wang
Wireless Communications and Mobile Computing
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Acceptance rate11%
Submission to final decision194 days
Acceptance to publication66 days
CiteScore2.300
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Impact Factor-

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