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Multi-Objective Deep Reinforcement Learning for 5G Base Station Placement to Support Localisation for Future Sustainable Traffic
This work assumes a pre-deployed BS and another BS is required to be added to support both localisation accuracy and coverage rate in an urban city scenario.
WHITE PAPER: Protecting GNSS Against Intentional Interference
The vulnerabilities associated with modern systems relying on Global Navigation Satellite Systems (GNSS) due to intentional and unintentional interference is an increasing threat.
A CNN Approach for 5G mmWave Positioning Using Beamformed CSI Measurements
The CSI data of the signals from one Base Station (BS) is collected at the reference points with known positions to train a CNN.
Cooperative Localization Utilizing Reinforcement Learning for 5G Networks
The demand for accurate localization has risen in recent years to enable the emerging of autonomous vehicles.
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