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Full-Text Articles in Digital Communications and Networking
Machine Learning Techniques For Network Analysis, Irfan Lateef
Machine Learning Techniques For Network Analysis, Irfan Lateef
Dissertations
The network's size and the traffic on it are both increasing exponentially, making it difficult to look at its behavior holistically and address challenges by looking at link level behavior. It is possible that there are casual relationships between links of a network that are not directly connected and which may not be obvious to observe. The goal of this dissertation is to study and characterize the behavior of the entire network by using eigensubspace based techniques and apply them to network traffic engineering applications.
A new method that uses the joint time-frequency interpretation of eigensubspace representation for network statistics …
Communications With Spectrum Sharing In 5g Networks Via Drone-Mounted Base Stations, Liang Zhang
Communications With Spectrum Sharing In 5g Networks Via Drone-Mounted Base Stations, Liang Zhang
Dissertations
The fifth generation wireless network is designed to accommodate enormous traffic demands for the next decade and to satisfy varying quality of service for different users. Drone-mounted base stations (DBSs) characterized by high mobility and low cost intrinsic attributes can be deployed to enhance the network capacity. In-band full-duplex (IBFD) is a promising technology for future wireless communications that can potentially enhance the spectrum efficiency and the throughput capacity. Therefore, the following issues have been identified and investigated in this dissertation in order to achieve high spectrum efficiency and high user quality of service.
First, the problem of deploying DBSs …