Special Issue on Artificial Intelligence for Wireless Networks (AI4WN)
摘要截稿:
全文截稿: 2019-12-01
影响因子: 3.643
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 2区
• 小类 : 计算机:信息系统 - 3区
• 小类 : 电信学 - 3区
Overview
The focus of this Special Issue is on Artificial Intelligence (AI) for Wireless Networks. AI applications are quickly finding their way into everyday life - whether it's eal-time traffic data, sensor data from self-driving cars, or Netflix entertainment recommendations. All of these wireless network applications generate extreme volumes of data that must be collected and processed in real time. The advantages of AI are numerous, most notably are learning from examples, experience, scalability, adaptability, and the ability to extract rules without the need for detailed or precise mathematical modeling. In general, the advantages of pursuing this line of research have been proven worthy.
The goal of the Special Issue is to publish the most recent results in the development of AI for wireless networks. Researchers and practitioners working in this area are expected to take this opportunity to discuss and express their views on the current trends, challenges, and state of the art solutions addressing various issues in AI for wireless networks. Review papers on this topic are also welcome. Topics to be covered in this Special Issue include the following topics, but are not limited to:
Deep Learning and Neural Networks for Wireless Networks
Machine Learning for Wireless Networks
Computer Vision in Wireless Networks
Reinforcement Learning for Wireless Networks
Knowledge Driven Wireless Networks
Decision Making for Wireless Networks
Fuzzy Systems for Wireless Networks
Evolutionary Computing for Wireless Networks
Human-Inspired Learning and Computing for Wireless Networks