Wireless Communications and Mobile Computing

Machine Learning in Mobile Computing: Methods and Applications


Publishing date
01 Sep 2021
Status
Published
Submission deadline
23 Apr 2021

Lead Editor

1Tianjin University, Tianjin, China

2Xi'an University of Architecture and Technology, Xi'an, China

3The University of Sydney, Sydney, Australia

4Macquarie University, Sydney, Australia


Machine Learning in Mobile Computing: Methods and Applications

Description

Breakthroughs in Machine Learning (ML), including deep neural networks and the availability of powerful computing platforms, have recently received much attention as a key enabler for future 5G and beyond wireless networks. ML has become one of the key technologies to realize intelligent mobile networks, intelligent services, and intelligent internet-of-things (IoT). ML could provide many new opportunities in the way we manage and optimize mobile wireless communications and networks, and the way we manage different user services and user content.

However, the evolution towards learning-based mobile networks and communications is still in its early days, and much of the realization of the promised benefits requires thorough research and development. Fundamental questions such as where and how ML can really complement the well-established, well-tested mobile wireless communication systems still remain. In addition, adaptation of ML-based methods is likely needed to realize their full potential in the context of mobile wireless networks.

This Special Issue aims to share and discuss recent advances and future trends of machine learning in mobile Computing, and to bring academic researchers and industry developers together. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • Advanced ML algorithms for mobile computing
  • ML-based mobile networks design
  • ML-based energy efficient communication/networking techniques
  • ML-based sensor networks and IoT applications
  • ML-based network resource allocation and optimization
  • ML-based secure communications and networking
  • ML-based computing on network edge
  • Service performance optimization in mobile wireless networks

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 5540201
  • - Research Article

Social Group Behavior Analysis Model Integrating Multitask Learning and Convolutional Neural Network

Chuan Zhou | Suying Gui | ... | Jianqing Wei
  • Special Issue
  • - Volume 2021
  • - Article ID 8424939
  • - Research Article

Design of Children’s Product Packaging Preference Based on Big Data Machine Learning

Yuan Gao
  • Special Issue
  • - Volume 2021
  • - Article ID 6387633
  • - Research Article

Consumer Decision-Making Power Based on BP Neural Network and Fuzzy Mathematical Model

Weijie Li
  • Special Issue
  • - Volume 2021
  • - Article ID 6118113
  • - Research Article

Research on Query Optimization of Classic Art Database Based on Artificial Intelligence and Edge Computing

Xiang Dong | Lijia Zeng
  • Special Issue
  • - Volume 2021
  • - Article ID 4204440
  • - Research Article

Segmented Cantilever and Array Configurations for Wider Frequency Band and Higher Power Generation in Piezoelectric Vibration Energy Harvester

Aicheng Zou | Jiefeng Li | ... | Qunying Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 5558578
  • - Research Article

Research on Intelligent Algorithm of Identity Authentication Based on Facial Features

Bin Yuan | Changqing Du | ... | Rong Zhu
  • Special Issue
  • - Volume 2021
  • - Article ID 3457967
  • - Research Article

Blockchain Equity System Transaction Method and System Research Based on Machine Learning and Big Data Algorithm

Kanghua Peng
  • Special Issue
  • - Volume 2021
  • - Article ID 2440896
  • - Research Article

Application of Mathematical Economic Model in Financial System in Manufacturing Industry

Boqi Tang
  • Special Issue
  • - Volume 2021
  • - Article ID 2194985
  • - Research Article

Art Effect of Photographic Darkroom Stunt Simulation Based on Mobile Computing to Synthesize Images across Image Moving Selected Regions

Wen Liu | Feng Qiu | Xi Zeng
  • Special Issue
  • - Volume 2021
  • - Article ID 9923326
  • - Research Article

Workflow Scheduling Based on Mobile Cloud Computing Machine Learning

Fanghai Gong
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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