Our Goal

The ALAR is dedicated to research in the application of ML in communications by presenting datasets for communication society. The target is to establish a set of common problems and corresponding datasets on which researchers can benchmark and compare their algorithms in a reproducible and credible way.

How To Use?

1. Register an account from NAIE. (you can follow the tutorial here)
2. Go to Apply Tab to submit your personal application.
3. We will notify you the result by email.
4. For inquires contact us alarapply@huawei.com

Datasets

ALAR Datasets

  • L1_Data
    • RandChan
      • L1_RandChan_FDD_10M_32T2R
          • Urban macro site downlink channel
          • Multi cell random distributed users
          • Include 100 mat files
          • Each mat file format:1000x2x32x52
            • 1000 points
            • 2 receive antennas UE
            • 32 transmit antenna BaseStation
            • Frequency domain 26RB, each RB capture 1RE
    • MobilityChan
      • L1_MobilityChan_FDD_5M_32T2R
          • Urban macro site downlink channel
          • Include 9 mat files, every 3 mat files represents 1 route
          • Each mat file format:5000x26x2x32
            • 5000 points
            • Frequency domain 26RB, each RB capture 1RE
            • 2 receive antennas UE
            • 32 transmit antenna BaseStation

Open Dataset Initiative

The ALAR strongly encourage that new high-quality datasets are made openly available. If you have questions about published datasets listed above, please contact the ALAR Staff  over email.

Apply

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Usage

You must register an NAIE account to use our data, the following is a NAIE platform tutorial.
ALAR_Manual.pdf

Contact Us

If you have any trouble accessing information or services on ALAR's site, please contact us.
alarapply@huawei.com