학술논문

On the Detection and Solution of Coverage Holes in 5G Networks through Relay User Equipment: a combined DBSCAN and Deep-Q Network Approach
Document Type
Conference
Source
2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) Vehicular Technology Conference (VTC2023-Spring), 2023 IEEE 97th. :1-6 Jun, 2023
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Transportation
Training
Vehicular and wireless technologies
5G mobile communication
Spectral efficiency
Detectors
Probability
Power system reliability
Radio Access Network
Deep-Q Network
5G coverage holes
UE-to-network relaying
DBSCAN
clustering
Language
ISSN
2577-2465
Abstract
This paper proposes a model to detect and solve coverage holes in 5G Radio Access Network (RAN) deployments operating with millimeter waves. The proposed model utilizes a DBSCAN-based detector to identify coverage constrained areas and then proposes the use of Relay User Equipment (RUE) capabilities to extend the RAN coverage. To optimize the activation and deactivation of RUEs, a Deep-Q-Network-based algorithm is proposed, aiming to improve spectral efficiency and decrease the outage probability experienced by network users. The obtained results demonstrate the effectiveness of the model in accurately detecting coverage constrained areas and efficiently solving these issues by means of an effective RUE activation, leading to significant improvements in network performance while minimizing the time that RUEs remain in active mode, which implies potential benefits for MNOs and UE holders and significant energy savings.