Instantaneous Bandwidth Approximation in 5G Networks
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Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Program
Computer science – algorithms, languages and logic (MPALG), MSc
Software engineering and technology (MPSOF), MSc
Software engineering and technology (MPSOF), MSc
Publicerad
2024
Författare
Aspljung, Albin
Ahmad, Uzair
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
The estimation of available bandwidth in real-time is a challenging problem which
has resulted in various proposed solutions for various network architectures. Because
network conditions can change quickly, it can be difficult to estimate the available
bandwidth without measuring it. Instead of directly measuring data speeds, which
can use up the network’s capacity and be slow, another approach is to use counters
that exist in 5G base stations. These counters track network activity and offer a
simpler way to estimate bandwidth without putting extra load on the system.
This thesis aims to develop a model for estimating bandwidth in base stations within
5G networks. It also explores the selection of appropriate counters for this purpose,
examines potential correlations between them, and investigates how various traffic
scenarios impact the accuracy of bandwidth estimation. A quantitative methodology
is used to this end. There has been previous research done on the topic of bandwidth
estimation and prediction, however not as much has been done using counters as
input.
The results show that certain counters related to data volumes and resource block
symbols appear to be particularly well suited for estimating bandwidth. The correlations
themselves suffice to be simple linear relationships and are for the most cases
accurate. The models estimate differently well for different traffic scenarios. The
scenarios with two devices transmitting data overall have higher error rates than
comparing to the one device scenarios.
Beskrivning
Ämne/nyckelord
5G , Base station , Bandwidth , Data Throughput , Network Traffic , Bandwidth Estimation