Wireless Communications and Mobile Computing

Intelligent Computing for the Next-Generation Communication Networks: Emerging Trends and Challenges


Publishing date
01 Oct 2022
Status
Published
Submission deadline
20 May 2022

Lead Editor

1Guangzhou University, Guangzhou, China

2Queen Mary University of London, London, UK

3East China Jiaotong University, Nanchang, China


Intelligent Computing for the Next-Generation Communication Networks: Emerging Trends and Challenges

Description

The rapid development of 5G communication networks and beyond (B5G) technologies bring an increasing amount of information transmitted over the Internet and stored in the local servers, which makes information exchange faster and more convenient. Meanwhile, the developed technologies have greatly enriched the application scenarios. This includes smart homes, UAV networks, electric autopilot, automatic driving in Internet of Vehicles and control systems, which require a large number of connections, higher transmission reliability, and less computation and communication latency. In addition, the interference introduced by massive connections will limit the system performance and reduce the efficiency of the traditional computing algorithms.

Consequently, efficient massive communication and computing is a challenging task in academia and industry. To address this issue, some advanced physical-layer technologies such as massive MIMO and intelligent reflecting surfaces should be studied, helping to increase the system resource dimension in the aspect of space. Moreover, some intelligent algorithms should be developed for future computing systems, such as deep learning, deep reinforcement learning, federated learning, and transfer learning. Furthermore, some advanced or intelligent resource management methods should be developed to enhance the system performance, which can fully exploit the potential advantages of the resources from communication and computing.

Motivated by these challenges, this Special Issue aims to disseminate the latest theoretical and experimental works in the domain of massive communication and intelligent computing technologies towards enabling massively connected, fully intelligent, and sustainable green 6G networks. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

  • Massive MIMO design from the aspect of channel estimation, user detection, performance analysis, and resource management
  • Machine learning-based technologies for the physical-layer communication
  • Deep learning-based technologies for the mobile edge computing networks
  • Intelligent resource management for massive communication and computing systems
  • Cache assisted communication and computing systems
  • Machine learning-enabled security techniques
  • Energy and spectral efficient access technologies for B5G wireless communication networks
  • Reconfigurable intelligent surfaces for B5G wireless communication networks
  • Backscatter communication for B5G wireless communication networks
  • Smart energy management techniques for balancing energy demand-supply in B5G wireless communication networks
  • Analytical, optimization, and experimental approaches for green communications and computing in B5G wireless communication networks

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 6136944
  • - Research Article

A Resource Allocation Scheme for Intelligent Tasks in Vehicular Networks

Jiujiu Chen | Caili Guo | ... | Jun Liu
  • Special Issue
  • - Volume 2022
  • - Article ID 5472324
  • - Research Article

Transferable Adversarial Attacks against Automatic Modulation Classifier in Wireless Communications

Lin Hu | Han Jiang | ... | Yuhua Xu
  • Special Issue
  • - Volume 2022
  • - Article ID 9121059
  • - Research Article

Deep Learning-Based Nonstationary Channel Prediction in Tactical Vehicle-to-Vehicle Communication Environments

Xin Lin | Aijun Liu | ... | Enyu Li
  • Special Issue
  • - Volume 2022
  • - Article ID 4979057
  • - Research Article

An Information-Centric Network Caching Method Based on Popularity Rating and Topology Weighting

Yaxin Chang | Jiafei Guo | ... | Jiguang Lv
  • Special Issue
  • - Volume 2022
  • - Article ID 1154325
  • - Research Article

A Lazy Learning-Based Self-Interference Cancellation Approach for In-Band Full-Duplex Wireless Communication Systems

Ou Zhao | Wei-Shun Liao | ... | Hiroshi Harada
  • Special Issue
  • - Volume 2022
  • - Article ID 3918207
  • - Research Article

An Optimized Approach for Industrial IoT Based on Edge Computing

Hongyang Huang | Mohammed Dauwed | ... | Sangsoon Lim
  • Special Issue
  • - Volume 2022
  • - Article ID 5659979
  • - Research Article

Integrated Classification Algorithm for Unbalanced Data Streams Based on Joint Nonnegative Matrix Factorization

Jin Li | Ruibo Zhao
  • Special Issue
  • - Volume 2022
  • - Article ID 9129436
  • - Research Article

Cooperative RIS and Relaying IoV Networks: A Deep Study on Position Analysis

Jiaxing Zhu | Guoan Zhang | ... | Dahua Fan
  • Special Issue
  • - Volume 2022
  • - Article ID 9560806
  • - Research Article

Joint Deployment and Power Optimization for UAV Relay in Multiuser Networks

Ang Ji | Jianjun Wu
  • Special Issue
  • - Volume 2022
  • - Article ID 7476225
  • - Research Article

The Application of Wireless Sensor Technology of Internet of Things in Korean Language Teaching

Yajie Bi
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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