Wireless Communications and Mobile Computing

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


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

Lead Editor

1National Institute of Technology, Warangal, India

2Cardiff Metropolitan University, Cardiff, UK

3SSN College of Engineering, Chennai, India

This issue is now closed for submissions.

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

This issue is now closed for submissions.

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 9762069
  • - Retraction

Retracted: Innovative Research on Ideological and Political Education in Colleges and Universities Based on Intelligent Wireless Network Environment

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9836897
  • - Retraction

Retracted: Application Research of the K-Means Clustering Algorithm in the Construction of Ideological and Political Education Resource Database in Colleges and Universities Based on 5G

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9814727
  • - Retraction

Retracted: The Indoor Space Layout of University Laboratories Based on Wireless Communication and Artificial Intelligence Decision-Making

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9814170
  • - Retraction

Retracted: College English Teaching Mode Based on Output-Oriented Method in Artificial Intelligence Environment

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9849721
  • - Retraction

Retracted: Human-Computer Interaction of Networked Vehicles Based on Big Data and Hybrid Intelligent Algorithm

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9805789
  • - Retraction

Retracted: Application of Machine Learning to Badminton Action Decomposition Teaching

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9840290
  • - Retraction

Retracted: Deep Learning Model-Based Machine Learning for Chinese and Japanese Translation

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9756547
  • - Retraction

Retracted: The Construction of Smart Learning Space in Colleges Based on Blended Learning

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9813420
  • - Retraction

Retracted: Analysis on the Establishment and Management of Library Resource Base Based on Modern Information Technology

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9789476
  • - Retraction

Retracted: An Improved Secure Key Generation Using Enhanced Identity-Based Encryption for Cloud Computing in Large-Scale 5G

Wireless Communications and Mobile Computing
Wireless Communications and Mobile Computing
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Acceptance rate11%
Submission to final decision151 days
Acceptance to publication66 days
CiteScore2.300
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