Home exam 2: Experiments

In this home exam, we will focus on real-world experiments and explore real-world datasets are analyzed and presented.

 

More specifically, you will be a given a dataset that is composed of coverage measurements for different operators and for different technologies. These measurements are conducted in different locations and under different settings. Your task is to compare the coverage performance for different scenarios both in space and time and evaluate whether the differences you observe are statistically significant.

 

The delivery consists of a presentation suitable for projection in the classroom. The exam comprises both the presentation as delivered and your oral presentation in the classroom including the handling of questions.

TASK

Narrowband Internet of Things (NB-IoT) is gaining momentum as a promising technology for massive Machine Type Communication (mMTC) and its deployment is rapidly progressing worldwide. In this task, you are given a large-scale measurement campaign of NB-IoT along with LTE in order to empirically analyze the coverage performance of NB-IoT and LTE on operational networks under different settings.

 

The measurement campaign was designed to explore city-wide coverage and deployment aspects under heterogeneous scenarios, and covered a period of three weeks during summer 2019 in Oslo, Norway. These measurements are conducted in various city areas and different scenarios:

  • Deep indoor (14 sub-campaigns), for basements and deep enclosed spaces
  • Indoor (48 sub-campaigns), for houses and multi-floor buildings
  • Outdoor Walking (8 sub-campaigns), for outdoor while walking
  • Outdoor Driving (14 sub-campaigns), for outdoor while on public transport

A subset of the measurements is replicated over time (i.e., morning vs. afternoon vs. evening, and week vs. weekend), to account for temporal effects.

 

For more details on the data collection, dataset fields and visualization of the data, please see: https://mosaic-simulamet.com/nbiotcoverage/. Here you can also find the analysis of the overall data in term of technology comparison, operator comparison and scenario comparison.

 

Your task with this assignment is to dig deeper and provide coverage performance comparison for different scenarios in time and in space. You can select any of the below scenarios (or their combination) for your analysis:

  • Given a selected number of different campaigns, compare the coverage performance for different operators and different technologies (NB-IoT and LTE)
  • Given two or more campaigns on the same path (e.g., repetitions of walking pilestredet, or driving from simulamet to simula and back), show how the coverage changes over time. Is this change significant? (Do this for a given operator and for a given technology)
  • Given two or more campaigns at the same location (e.g., repetitions of indoor or deep indoor campaigns), show how the coverage changes over time. Is this change significant? (Do this for a given operator and for a given technology)
  • Given a region where we have both (deep) indoor and outdoor measurements, compare the indoor coverage with the outdoor coverage. (Do this for a given operator)

DATASET for the task: LTE and NB-IoT

Presentation

  • Make a visual classroom representation, in the spirit of a short lecture. Select a tool such as Powerpoint or Google Slides which allows you do download and hand in complete assignments. Tools to present results more interactively (Matlab, Jupyter Notebook) are great in many contexts but not for delivery as a homework. Deliver a PDF version of your presentation as well.
  • The presentation must:
    • explain the goals of your analysis
    • explain which scenarios you have chosen to analyze, and how you approached the analyses
    • present your results visually using plots (there are many examples in the intro lecture)
    • explain the results
    • explain how the plots assist you in explaining these results
  • Present in the classroom.
    • The presentation that you deliver is not a report. It should be very brief (using bullets) for each requested explanation. The oral presentation in the classroom should be more detailed.
    • It is important to use statistical tools and enough number of samples to make your case, as real measurements always have measurement noise.

Deadline

The presentation must be submitted on October 13 at 12:00 (before the course starts).

 

 

Publisert 28. sep. 2020 15:14 - Sist endret 28. sep. 2020 15:23