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Main Authors: Kartheek, Kotha, Ghosh, Shankar K., Iyengar, Megha, Sharma, Vinod, Deb, Souvik
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2510.05762
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author Kartheek, Kotha
Ghosh, Shankar K.
Iyengar, Megha
Sharma, Vinod
Deb, Souvik
author_facet Kartheek, Kotha
Ghosh, Shankar K.
Iyengar, Megha
Sharma, Vinod
Deb, Souvik
contents The impact of Radio link failure (RLF) has been largely ignored in designing handover algorithms, although RLF is a major contributor towards causing handover failure (HF). RLF can cause HF if it is detected during an ongoing handover. The objective of this work is to propose an efficient power control mechanism based on Deep Q-Network (DQN), considering handover parameters (i.e., time-to-preparation, time-to-execute, preparation offset, execution offset) and radio link monitoring parameters (T310 and N310) as input. The proposed DRL based power control algorithm decides on a possible increase of transmitting power to avoid RLF driven HF. Simulation results show that the traditional conditional handover, when equipped with the proposed DRL based power control algorithm can significantly reduce both RLFs and subsequent HFs, as compared to the existing state of the art approaches.
format Preprint
id arxiv_https___arxiv_org_abs_2510_05762
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Deep Q-Network based power control mechanism to Minimize RLF driven Handover Failure in 5G Network
Kartheek, Kotha
Ghosh, Shankar K.
Iyengar, Megha
Sharma, Vinod
Deb, Souvik
Networking and Internet Architecture
The impact of Radio link failure (RLF) has been largely ignored in designing handover algorithms, although RLF is a major contributor towards causing handover failure (HF). RLF can cause HF if it is detected during an ongoing handover. The objective of this work is to propose an efficient power control mechanism based on Deep Q-Network (DQN), considering handover parameters (i.e., time-to-preparation, time-to-execute, preparation offset, execution offset) and radio link monitoring parameters (T310 and N310) as input. The proposed DRL based power control algorithm decides on a possible increase of transmitting power to avoid RLF driven HF. Simulation results show that the traditional conditional handover, when equipped with the proposed DRL based power control algorithm can significantly reduce both RLFs and subsequent HFs, as compared to the existing state of the art approaches.
title A Deep Q-Network based power control mechanism to Minimize RLF driven Handover Failure in 5G Network
topic Networking and Internet Architecture
url https://arxiv.org/abs/2510.05762