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 9839735
  • - Retraction

Retracted: A Study of Different Existing Methods for the Stock Selection in the Field of Quantitative Investment

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9816136
  • - Retraction

Retracted: Machine Learning Model-Based English Project Learning and Functional Research

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9760873
  • - Retraction

Retracted: Implementation of Cloud Computing Protocol in E-Learning for Future Wireless Systems

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9785791
  • - Retraction

Retracted: Real-Time Prediction of Cross-Border e-Commerce Spike Performance Based on Neural Network and Decision Tree

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9829404
  • - Retraction

Retracted: Identity-Based Designated-Verifier Proxy Signature Scheme with Information Recovery in Telemedicine System

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9891279
  • - Retraction

Retracted: Temporal Logic-Based Artificial Immune System for Intrusion Detection

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9850517
  • - Retraction

Retracted: Innovation and Development of Cross-Border E-Commerce in the Context of Wireless Communication and the Internet of Things

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9851652
  • - Retraction

Retracted: Research on Forecast of Macroeconomic Indicators Based on Multiobjective Optimization

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9817478
  • - Retraction

Retracted: The Evaluation Model of Students’ Network Ideological and Political Education in the Internet Era

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9840614
  • - Retraction

Retracted: Research on Pattern Recognition of Lower Limb Motion Based on Convolutional Neural Network

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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