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 2022
  • - Article ID 7628814
  • - Research Article

Design and Implementation of Optimum LSD Coded Signal Processing Algorithm in the Multiple-Antenna System for the 5G Wireless Technology

Priyanka Pateriya | Rakesh Singhai | Piyush Shukla
  • Special Issue
  • - Volume 2022
  • - Article ID 8196756
  • - Research Article

[Retracted] Analysis and Evaluation of Key Elements of Optimal Regulation of Green Supply Chain from the Perspective of Low Carbon

Zhenhua Dai | Chunming Ye
  • Special Issue
  • - Volume 2022
  • - Article ID 7500195
  • - Research Article

Simulating Neural Network Processors

Jian Hu | Xianlong Zhang | Xiaohua Shi
  • Special Issue
  • - Volume 2022
  • - Article ID 8054688
  • - Research Article

[Retracted] New Inexact Parallel Splitting Algorithm for a Class of Separable Convex Programming

Xiaobiao Chen | Meiyu Zhang | ... | Lichen Chai
  • Special Issue
  • - Volume 2022
  • - Article ID 7088126
  • - Research Article

Machine Reading Comprehension-Enabled Public Service Information System: A Large-Scale Dataset and Neural Network Models

Changchang Zeng | Shaobo Li | Bin Chen
  • Special Issue
  • - Volume 2022
  • - Article ID 5731473
  • - Research Article

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

Yingchuan Ma | Yue Yu | Zhaoming Ma
  • Special Issue
  • - Volume 2022
  • - Article ID 7343000
  • - Research Article

[Retracted] Research on Collaborative Interaction Model of Knowledge Sharing in Industry-University Cooperation

Jing Li
  • Special Issue
  • - Volume 2022
  • - Article ID 5848742
  • - Research Article

Signal Recognition of Polyphase-Coded Radar Signals Based on Multifeature Fusion

Xiaofeng Wang | Huixu Dong | Ruilan Tian
  • Special Issue
  • - Volume 2022
  • - Article ID 5991154
  • - Research Article

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

Chengmin Wang | Guangji Li | ... | Jian Lu
  • Special Issue
  • - Volume 2022
  • - Article ID 1556467
  • - Research Article

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

Jianhua Cao | Weixiang Xu
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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