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 9863102
  • - Retraction

Retracted: The Management of Energy Transformation through Laser Charging in WPT for 5G Application: Prediction Model of the In0.3Ga0.7As Solar Cell

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9785182
  • - Retraction

Retracted: Analysis on the Sharing Method of English Mobile Education Resources Based on Wireless Broadband Connection

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
  • Special Issue
  • - Volume 2023
  • - Article ID 9821851
  • - Retraction

Retracted: Distributed Sound Transmission and Smart City Planning Management Based on Convolutional Neural Network

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9794580
  • - Retraction

Retracted: Construction of College Chinese Mobile Learning Environment Based on Intelligent Reinforcement Learning Technology in Wireless Network Environment

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9876293
  • - Retraction

Retracted: A New Intelligent Rebalancing Management Method for Multiperiod and Multiobjective Bike-Sharing System Based on Machine Learning-Enabled Signal Processing Techniques

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9806129
  • - Retraction

Retracted: Factors Influencing the Development of Digital Economy in Local Areas of China Based on Big Data Statistics

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9805409
  • - Retraction

Retracted: Optimal Allocation Method of 5G Communication System Resources Assisted by Artificial Intelligence Technology

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9828740
  • - Retraction

Retracted: System for Recommending Telecommunication Packages Based on the Deep and Cross Network

Wireless Communications and Mobile Computing
  • Special Issue
  • - Volume 2023
  • - Article ID 9839464
  • - Retraction

Retracted: Visual Communication Design Based on 5G Technology

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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