This article emphasizes the great potential of big data processing for advanced user-and situationoriented, context-aware resource utilization in future wireless networks. In particular …
With outstanding features, Machine Learning (ML) has been the backbone of numerous applications in wireless networks. However, the conventional ML approaches have been …
Dynamic spectrum access (DSA) benefits from detection and classification of interference sources including in-network users, out-network users, and jammers that may all coexist in a …
As a consequence of the 5G network densification and heterogeneity, there is a competitive relationship between the sufficient satisfaction of the cell users and the power-efficiency of …
The continuous increase in the number of mobile and Internet of Things (IoT) devices, as well as in the wireless data traffic they generate, represents an essential challenge in terms …
In this article, we first present the vision, key performance indicators, key enabling techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
Accurately modeling and predicting wireless channel quality variations is essential for a number of networking applications such as scheduling and improved video streaming over …
Spectrum awareness, including identifying different types of signals, is very important in a cellular system environment. In this paper, a neural network is utilized to identify 5G signals …
As spectrum becomes crowded and spread over wide ranges, there is a growing need for emcient spectrum management techniques that need minimal, or even better, no human …