Signal Coverage Maps Using Measurements and Machine Learning (Project 151) #16
Replies: 7 comments 15 replies
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I am interested in this project, but have difficulty in getting the dataset. Would you please give me a hint about where I can get some data please? |
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I'm happy to hear you are interested in this project! I have updated the project description with a couple of links which may help you locate a data set, including a link to a wireless data portal and a link to a particular data set. I also added a link to a paper which describes the data-driven techniques which can be used with the data sets. |
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Hello, you provided a link to a data set, CRAWDED, related to the project, but I found that it belongs to Dartmouth College and I can't download data from it. Could you tell me is there any way to solve this problem, please? |
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I have some confusion about the fourth suggested step : Generate coverage maps using your propagation models and compare your results against theoretical propagation models which are available in Communications Toolbox. |
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The "theoretical" propagation models mentioned refer to the models which are pre-defined and ship in Communications Toolbox, such as the ray tracing propagation model. The goal is to generate coverage maps using the pre-defined model and compare them to the coverage maps using your model derived from measurements. This example shows how to use the ray tracing propagation model and generate coverage maps in an urban environment. |
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Hello, you have provided a link to a data set, "CRAWDED", related to the project, but I found that it belongs to Dartmouth College and I can't download data from it. Could you tell me is there any way to solve this problem, please? |
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Hello Mc-Hf, We are happy to know you are working on this project! To download the data you should register here first. |
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I registered in order to download the dataset but they emailed me this "Hello, the website crawdad.org is no longer in use.". It turns out they have migrated to IEEE-Dataport but I am finding it difficult to locate the particular dataset to be used. I was able to download the sample dataset from "http://www.mysignals.gr/research.php" but it's for GSM and the reference research paper (City-Wide Signal Strength Maps: Prediction with Random Forests.)was talking about LTE. |
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Hi @Kofigo375, In their IEEE Dataport page I found some LTE datasets by just searching 'LTE' in the search bar. Let me know if that works for you. Also, GSM would be fine too. |
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Hi, I am Ephraim Osei, a student at Kwame Nkrumah University of Science and Technology and I am interested in working and collaborating on this project with my team member Darko Christabel Bemah |
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that works for me, thank you
…On Tue, Sep 12, 2023 at 2:54 PM robertogl ***@***.***> wrote:
Hi @Kofigo375 <https://github.com/Kofigo375>,
In their IEEE Dataport page
<https://ieee-dataport.org/collections/crawdad> I found some LTE datasets
by just searching 'LTE' in the search bar. Let me know if that works for
you.
—
Reply to this email directly, view it on GitHub
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Hi, I am Anand here is this project thread active now. If yes I shall look into materials provided and propose solution if any. |
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Yes, this project is still active. |
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I have this dataset, please let me know whether this is compatible with this project. This is not from IEEE dataport or crowdad. |
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I see data with locations and received power measurements, so at first glance this looks like it could be usable for the project. |
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Hi, Could you please provide feedback if any. Regards, |
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Yes I would like to participate, could you please share more information about this.? |
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Information is available here. Your project belongs to the AI trend and you submitted a solution within the deadline. Thus, you are already participating in the challenge (unless you tell me you do not want to). However, I cannot provide substantial feedback to improve your solution, but you have time until July 18 to modify and improve your solution. |
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Dear Robert, |
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I did not include it. It was already there 😃 . |
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I had already submitted my work. I would like to know feedback about my GitHub repo. |
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Contribute to the discussion by asking and/or answering questions, commenting, or sharing your ideas for solutions to project #151
🤖 An AI bot may reply to your comments with suggestions and guidance. It will not solve the project for you. Your comments may be processed by a third-party LLM. To direct a question to a specific person, tag them with @username.
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