Challenges and Opportunities in Future Generation of Wireless Networks
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 February 2024) | Viewed by 118
Interests: green ICTs; wireless and cellular networks; performance evaluation; deep learning; deep reinforcement learning; intelligent computing
Special Issues, Collections and Topics in MDPI journals
This Special Issue aims to bring together inspiring research on the recent progress and future challenge in the wireless network.
Wireless technologies have become ubiquitous in the modern world, with each having its own purpose, depending on the circumstances. Recent attention has been focused on 5G mobile data networks being deployed in a number of countries. End users, businesses, and telecommunications system operators will benefit from 5G in a variety of ways. This includes an increase in speed, improved capabilities, and services that are tailored for the new generation of connected smart devices.
Beyond just 5G, advancements in a wide range of wireless communication technologies are now giving industries new opportunities to increase visibility, improve operational efficiency and accelerate automating. Common technologies such as WiFi and Bluetooth, but also lesser-known technologies such as Low Power Wide Area Network (LPWAN) or Low-Earth Orbit (LEO) satellites, have been significantly enhanced. These next-generation wireless technologies will pave the way for the next stage of the communications revolution.
However, even though these technologies offer many advantages over wired networks, both in terms of mobility and portability as well as economically, wireless networks face different challenges. One of the biggest challenges wireless networks face is the demanding transmission requirements such as issues in the system design and the device costs. Such challenges have been addressed by research in the fields of advanced photonics technologies, digital/analog radio over fiber (D/A-RoF) technologies and optical wireless communication (OWC). In addition, the security of wireless networks has always been the focus of attention. Wireless network security can be divided into radio frequency security, terminal security, network access, and data security. Future competition in the WiFi market will gradually shift to management platforms that use machine learning techniques to predict network behavior and automate more tasks.
In this Special Issue, we aim to collect all of the aspects surrounding wireless networks, including, but not limited to, the following fields:
- Privacy and anonymity;
- Attacks and threats characterization;
- Intrusion detection and prevention;
- Wireless networks resilience;
- 5G and beyond wireless networks;
- Machine learning for wireless networks;
If you are interested in this topic, you are welcome to contribute to this Special Issue, and we look forward to receiving your submissions soon.
Prof. Dr. Yao-Liang Chung
Manuscript Submission Information
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