UniNetProbe: A Comprehensive 5G Research Testbed Framework

A well-defined and well-designed experimentation process is crucial for meaningful research outcomes. This paper introduces a framework aimed at streamlining the experimentation process in networking testbeds, consisting of five key components: i) the experiment driver, containing available experiment tools, ii) the control tools to enhance capabilities and create complex scenarios, iii) the monitoring implementation, providing researchers with meaningful insights into gathered metrics, iv)the database component, which will be the main repository for storing experimental results and v) the analytics component, which could provide insights on patterns and hidden knowledge found in the extracted data, with the help of algorithms and artificial intelligence. The framework can be applied to various networking testbeds and is followed by descriptions of two Proof of Concepts (PoCs) demonstrating its implementation.

Authors

Institutions

Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/camad62243.2024.10942984
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

UniNetProbe: A Comprehensive 5G Research Testbed Framework

Dimitrios Giannopoulos, Christos Tranoris, Spyros Denazis, Panagiotis Papaioannou et al.
Advanced MIMO Systems Optimization
article

UniNetProbe: A Comprehensive 5G Research Testbed Framework

Dimitrios Giannopoulos, Christos Tranoris, Spyros Denazis, Panagiotis Papaioannou, Georgios Christos Tziavas
article en

Abstract

A well-defined and well-designed experimentation process is crucial for meaningful research outcomes. This paper introduces a framework aimed at streamlining the experimentation process in networking testbeds, consisting of five key components: i) the experiment driver, containing available experiment tools, ii) the control tools to enhance capabilities and create complex scenarios, iii) the monitoring implementation, providing researchers with meaningful insights into gathered metrics, iv)the database component, which will be the main repository for storing experimental results and v) the analytics component, which could provide insights on patterns and hidden knowledge found in the extracted data, with the help of algorithms and artificial intelligence. The framework can be applied to various networking testbeds and is followed by descriptions of two Proof of Concepts (PoCs) demonstrating its implementation.

University of Patras (GR)
Openalex Percentile: Top 73%
Advanced MIMO Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.