Intelligent Algorithms for 5G and 6G Wireless Communication Systems
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: closed (20 July 2023) | Viewed by 3480
Special Issue Editors
Interests: machine learning; nature-inspired meta-heuristic algorithms; artificial neural networks with an emphasis on deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: spectrum measurements; radio propagation; heterogeneous networks; communication engineering
Special Issue Information
Dear Colleagues,
Intelligent algorithms have emerged that mimic the intelligence behavior of natural phenomenon. The literature has shown that more than 300 global optimization algorithms exist, with many being proposed on a regular basis. The intelligent algorithms have been proven to solve large-scale real-world optimization problems better than conventional approaches in different domain, such as the telecommunication system, internet of medical things, etc. Different parts of the world are currently adopting the 5G wireless communication systems, and research into the future communication systems on the 6G has already begun. Intelligent algorithms, such as the genetic algorithms, particle swarm optimization, deep learning, differential evolutionary, support vector machine, cuckoo search optimization algorithms, explainable artificial intelligence, etc., were found to be applied in different aspects of 5G, such as energy, security, resource management, slicing, quality of service, path loss modeling, etc., to solve practical problems.
Despite the development recorded by intelligent algorithms to solve problems in 5G and beyond wireless communication systems, a lot of gaps exist that need the research community to focus on explorations of intelligent algorithms in 5G and beyond wireless communication systems. On the other hand, 6G wireless communication systems’ research is at the early stage of development; as such, potential solutions for 6G issues based on intelligent algorithms are required to guide industry practitioners and the academia.
The main aim of this Special Issue is to collect recent developments exploring intelligent algorithms in 5G and 6G wireless communication systems. Theoretical, original and review/survey articles are welcomed for submission in this Special Issue.
Topics of interest includes but not limited to:
- Swarm optimization algorithm in hybrid 5G services;
- Population-based algorithms in 5G fixed wireless;
- Bio-inspired algorithms for 5G heterogeneous networks;
- Nature-inspired algorithms for 5G IoT networks;
- Internet of medical things;
- Natural algorithms for 5G cyber physical systems;
- Evolutionary/deep learning in path loss modelling;
- Expert systems for 5G and 6G;
- Artificial intelligence for 5G- and 6G-based smart cities, sustainable cities and urban computing;
- Physics- and chemistry-based algorithms in Modulation for 5G;
- Intelligence techniques for Unmanned Aerial Vehicle (UAV)-nased solutions for 5G and beyond;
- Fusing blockchain technology in quality of service;
- Optimization algorithms for 5G channel models;
- Deep learning for 5G-based internet of vehicles;
- Neural networks and swarm-based algorithms for slicing;
- Artificial intelligence for 5G ultra-dense networks;
- Intelligent algorithms for 5G mobile robots;
- Genetic algorithms for 5G MIMO;
- Nature-inspired algorithms for 6G.
Prof. Dr. Haruna Chiroma
Prof. Dr. Nasir Faruk
Dr. Ibrahim Hashem
Guest Editors
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