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Modeling and Analysis of Intra-Frequency Multi-Connectivity for High Availability in 5G

Authors: David Öhmann; Ahmad Awada 0002; Ingo Viering; Meryem Simsek; Gerhard P. Fettweis;

Modeling and Analysis of Intra-Frequency Multi-Connectivity for High Availability in 5G

Abstract

Besides classical performance indicators such as throughput and capacity, other metrics like reliability, availability, and latency are becoming increasingly important for designing and analyzing wireless networks. This work provides novel insights into how high availability can be achieved. For doing so, a preexisting model for detailed analysis of the signal-to-interference- plus-noise ratio (SINR) is adapted and applied to various intra-frequency multi-connectivity architectures. In addition, the impact of different carrier frequencies, i.e., 2.5 GHz and 15 GHz, is investigated as well. The developed models accurately capture the system performance and reveal distinct advantages and disadvantages of the investigated architectures. It is demonstrated that, especially, dynamic clustering mechanisms in combination with single frequency network transmissions are suited to achieve extremely high availability while using resources efficiently.

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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!
4
Average
Average
Average
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