Autonomous handover parameter optimisation for 5G cellular networks using deep deterministic policy gradient

Author:

Kwong Chiew FoongORCID,Shi ChenhaoORCID,Liu QianyuORCID,Yang Sen,Chieng DavidORCID,Kar PushpenduORCID

Funder

Ningbo Science and Technology Bureau

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference26 articles.

1. NR; User equipment (UE) conformance specification; Radio transmission and reception; Part 2: Range 2 standalone;3GPP,2023

2. LTE handover parameters optimization using Q-learning technique;Abdelmohsen,2018

3. Auto tuning self-optimization algorithm for mobility management in LTE-A and 5G HetNets;Alhammadi;IEEE Access,2019

4. Mobility load management in cellular networks: A deep reinforcement learning approach;Alsuhli;IEEE Transactions on Mobile Computing,2021

5. Banna, R. E., ELAttar, H. M., & Abou El-Dahab, M. M. (2021). Fast Adaptive Handover using Fuzzy Logic for 5G Communications on High Speed Trains. In 2021 16th International conference on telecommunications (pp. 10–17).

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