Wireless Communications and Mobile Computing

Machine Learning Enabled Signal Processing Techniques for Large Scale 5G and 5G Networks


Publishing date
01 Nov 2022
Status
Published
Submission deadline
01 Jul 2022

Lead Editor

1National Institute of Technology, Warangal, India

2Cardiff Metropolitan University, Cardiff, UK

3SSN College of Engineering, Chennai, India


Machine Learning Enabled Signal Processing Techniques for Large Scale 5G and 5G Networks

Description

Massive explorations in 5G and 5G communication technologies have envisioned the need for large-scale wireless networks that are potentially capable of handling high data traffic without compromising on the link reliability. This specific requirement demands architectural developments in wireless networks to support the data-hungry mobile communication systems. One of the critical aspects of large-scale wireless networks is the efficiency of the resources in the wireless system. The 5G and 5G technologies are engineered to work seamlessly in heterogeneous platforms unlike 2G, 3G, and 4G wireless networks. This heterogeneous nature includes the mobile devices, signal processing techniques, associated spectrum allocation, and most importantly the network model.

To meet the needs of this heterogeneity in 5G and 5G wireless systems, researchers constantly focus on the implementation of novel and robust signal processing algorithms. In addition, efficiency and performance enhancement can be achieved by adopting machine learning techniques that are supposed to empower the signal processing algorithms. The signal processing algorithms that use machine learning techniques are anticipated to improve the channel capacity, link reliability, device compatibility, and thereby enhance the user flexibility in adopting the technology.

This Special Issue is targeted to consolidate the theory and prospective implementation of machine learning algorithms in future wireless systems. Furthermore, machine learning techniques play a pivotal role in antenna modeling for large-scale wireless systems. We welcome original research and review articles.

Potential topics include but are not limited to the following:

  • Machine learning empowered signal processing algorithms
  • Machine learning-based optimization of resource allocation
  • Front haul, backhaul, and cross layer-based optimization techniques
  • Sensing techniques using machine learning and signal processing
  • Location and context-aware communication algorithms using machine learning in signal processing
  • Machine learning-based solutions for network coverage
  • Modulation, acquisition, and synchronization algorithms for large-scale wireless networks
  • Machine learning-based antenna modeling in massive Multiple-Input Multiple-Output (MIMO) systems
  • Energy auditing using machine learning and efficiency enhancement techniques
  • Testbed and hardware implementation of future wireless systems

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 9879473
  • - Retraction

Retracted: The Effect of English Reading Based on Embedded Sensor System on the Cultivation of College Students’ Humanistic Spirit

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9758127
  • - Retraction

Retracted: The Media Public Opinion Analysis on the Implementation of “Double Reduction” Policy in Education Based on Big Data

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9891715
  • - Retraction

Retracted: A Study on China’s Cultural Product Export Trade and Its Forecast Based on Hausmann’s Export Complexity

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9834952
  • - Retraction

Retracted: Research on Optimization of Food Industry Processing Process Based on Computational Intelligence

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9760426
  • - Retraction

Retracted: Entrepreneurial Bricolage Based on Big Data and Artificial Intelligence Decision-Making

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9846583
  • - Retraction

Retracted: Design and Implementation of a Machine Learning-Based English Intelligent Test System

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9760540
  • - Retraction

Retracted: Measures and Suggestions for Smart Community Development Based on Urban Renewal

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9840836
  • - Retraction

Retracted: Chinese Short Text Classification by ERNIE Based on LTC_Block

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9768060
  • - Retraction

Retracted: Research on Teaching Management Methods and Approaches of Chinese-Foreign Cooperation in Running Schools in Colleges and Universities under the Background of Big Data

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9816809
  • - Retraction

Retracted: Analysis of the Impact of ESG on Corporate Financial Performance under the Epidemic Based on Static and Dynamic Panel Data

Wireless Communications and Mobile Computing
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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