Location-Based Handover with Particle Filter and Reinforcement Learning (LBH-PRL) for Mobility and S...
Location-Based Handover with Particle Filter and Reinforcement Learning (LBH-PRL) for Mobility and Service Continuity in Non-Terrestrial Networks (NTN)
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
In high-mobility non-terrestrial networks (NTN), the reference signal received power (RSRP)-based handover (RBH) mechanism is often unsuitable due to its limitations in handling dynamic satellite movements. RSRP, a key metric in cellular networks, measures the received power of reference signals from a base station or satellite and is widely used f...
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Full title
Location-Based Handover with Particle Filter and Reinforcement Learning (LBH-PRL) for Mobility and Service Continuity in Non-Terrestrial Networks (NTN)
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Record Identifier
TN_cdi_crossref_primary_10_3390_electronics14081494
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3390_electronics14081494
Other Identifiers
ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics14081494
