Advances in Wireless Communications Using Machine Learning and Deep Learning Techniques
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 30 August 2024 | Viewed by 5466
Artificial intelligence (AI) is a growing technology capable of performing complex tasks similarly to human behavior. Machine learning (ML) and deep learning (DL) are the two main conceptualization portions of AI. ML is a technology capable of teaching computers to behave like human beings by training them with the help of experience and past data to perform different tasks automatically, such as predictions, estimations, etc. Due to its ability to learn from past data, ML has become a powerful tool to solve problems in different areas such as engineering, medicine, biology, astronomy, commercial applications, etc. DL is part of machine learning similar to ML but with different capabilities and approaches since it is inspired by human brain cells, called neurons. Consequently, it is also known as a deep neural network or deep neural learning. ML and DL are becoming part of new wireless communications curricula due to the necessity to solve the increased challenges in wireless communications and networks. The development of ML and DL technologies for wireless communication has expanded intensely due to the growth of the unique demands and applications in wireless communications requiring more intelligent operations and processing. As a result, ML and DL have become one of the most important trends in wireless communications research and applications. This Special Issue aims to combine the research results and industrial applications of ML and DL for wireless communications and networks. Original, previously unpublished works which are not currently under review anywhere are required in the topics of interest, including (but not limited to) the following:
- Signal detection and channel modeling;
- Sparse signal recovery;
- Channel equalization;
- Channel prediction;
- Channel coding and decoding;
- Energy efficiency optimization;
- Antenna design and dynamic configuration;
- Optimization, physical-layer, and cross-layer processing;
- Resource allocation in cognitive radio networks;
- Spectrum access and sharing;
- Software-defined networking;
- Software-defined flexible radio;
- Protocol design;
- Network optimization, resource management, and security;
- Traffic and mobility prediction;
- Massive MIMO systems;
- Positioning and navigation systems;
- Emerging applications, such as IoT, smart cities, and vehicular networks;
- Sensor networks.
Prof. Dr. Gordana Jovanovic Dolecek
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.