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Article
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ZENODO
Other literature type . 2016
License: CC 0
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https://doi.org/10.1109/glocom...
Article . 2016 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2024
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Optimizing the UE Transmission Probability for D2D Direct Discovery

Authors: Griffith, David; Lyons, Fiona;

Optimizing the UE Transmission Probability for D2D Direct Discovery

Abstract

We model Mode~2 direct discovery in Device-to- Device (D2D) Long Term Evolution (LTE) networks and derive the optimal value of the discovery message transmission probability that minimizes the mean number of periods required for a successful discovery message transmission. We use Monte Carlo simulations to validate our analytical results and to show that optimizing the transmission probability produces nearly optimal performance with respect to the time required for all members of a group of User Equipments (UEs) to discover each other.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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