KO
|
EN
gitlite — search
Search
#javascript
#python
#hacktoberfest
#react
#ai
#typescript
#llm
#go
#golang
#android
#machine-learning
#rust
#deep-learning
#linux
drone_CF-mMIMO
★ 10
Open GitHub ↗
No description available.
Download README (.md)
Explore Similar Repositories
docker-babashka
:
No description available.
Calculator
:
No description available.
SpMV-on-Many-Core
:
A cross-platform Sparse Matrix Vector Multiplication (SpMV) framework for many-core architectures (GPUs and Xeon Phi).
FoxClient
:
A Fabric (and Quilt) Mod that changes the look of the Minecraft UI and adds some features.
AI_Engineering
:
这是中国高科集团实训资料库,包含课件,示例代码以及其他相关资料
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
drone_CF-mMIMO
?
Download (.md)
# Cell-Free Massive MIMO Channel Measurement Data 1. [AP35m-UE1](https://public-ultralab.s3.us-west-1.amazonaws.com/public-ultralab/CF-mMIMO%3A+drone+measurement+2020/H_AP35m_UE1.zip) 2. [AP70m-UE1](https://public-ultralab.s3.us-west-1.amazonaws.com/public-ultralab/CF-mMIMO%3A+drone+measurement+2020/H_AP70m_UE1.zip) 3. [AP35m-UE2](https://public-ultralab.s3.us-west-1.amazonaws.com/public-ultralab/CF-mMIMO%3A+drone+measurement+2020/H_AP35m_UE2.zip) 4. [AP70m-UE2](https://public-ultralab.s3.us-west-1.amazonaws.com/public-ultralab/CF-mMIMO%3A+drone+measurement+2020/H_AP70m_UE2.zip) 5. [AP35m-UE3](https://public-ultralab.s3.us-west-1.amazonaws.com/public-ultralab/CF-mMIMO%3A+drone+measurement+2020/H_AP35m_UE3.zip) 6. [AP70m-UE3](https://public-ultralab.s3.us-west-1.amazonaws.com/public-ultralab/CF-mMIMO%3A+drone+measurement+2020/H_AP70m_UE3.zip) 7. [AP35m-UE4](https://public-ultralab.s3.us-west-1.amazonaws.com/public-ultralab/CF-mMIMO%3A+drone+measurement+2020/H_AP35m_UE4.zip) 8. [AP70m-UE4](https://public-ultralab.s3.us-west-1.amazonaws.com/public-ultralab/CF-mMIMO%3A+drone+measurement+2020/H_AP70m_UE4.zip) This repo contains open-source channel measurement data for research and development purposes. Copyright Thomas Choi, University of Southern California. The data may be used for non-commercial purposes only. Redistribution prohibited. If you use this data for results presented in research papers, please cite as follows: Data were obtained from [[Choi2021Using](https://arxiv.org/abs/2106.15276)], whose data are available at [[WiDeS_Choi2021Using](https://wides.usc.edu/research_matlab.html)]. ## Measurement Data Descriptions The measurement was conducted at the University of Southern California (University Park Campus). A drone with a single antenna acted as a transmitter and a cylidrical array with 128 antennas acted as a receiver. The array contains 16 different linear array forming a cylinder, where each array contains 4 patch elements. Each patch element has two different ports (V-pol and H-pol), hence 8 ports per linear array. We used 46 MHz bandwidth, with 2301 subcarriers, around 3.5 GHz center frequency. More details of the channel sounder is described in [[Gomez2021Air](https://arxiv.org/abs/2103.09135)]. Each spatial point where the drone passes acts as a single-antenna access point (AP) and the array acts as a user equipment (UE). The drone flew the same trajectory twice per each UE location, at 35m height and 70m height. There were 4 UE locations on campus, hence the trajectory was repeated 8 times (4 UEs, 2 different heights). Each trajectory was divided into 6 parts, due to drone battery issues. There are 4 zipped folders, each containing channel data for each UE. Each zipped folder contains 6 files, corresponding to channel data at 6 different parts of the trajectory. The dimension of each file is (# of drone positions) x (128 antenna elements) x (2301 subcarriers). The GPS files contain latitude and longitude information of the drone for 4 different UEs, at both 35m and 70m height. For each UE at one drone height, there is (# of drone positions) x 2 data, where 2 corresponds to latitude and longitude of the drone. For multi-user MIMO studies, the AP (drone) locations must be synchronized for different UEs using this GPS information. The latitude and longitude of UE1 to UE4 are: UE1: 34.02105616098113, -118.2881572051255 UE2: 34.0226219987896, -118.28716839187055 UE3: 34.02346551661122, -118.28772482646559 UE4: 34.02349858327912, -118.287700908681 Any further questions regarding the dataset can be emailed to Thomas Choi, choit@usc.edu, and he will respond as soon as possible. *[[Choi2021Using](https://arxiv.org/abs/2106.15276)] T. Choi et al., "Using a drone sounder to measure channels for cell-free massive MIMO systems," arXiv preprint arXiv:2106.15276, 2021.* *[[WiDeS_Choi2021Using](https://wides.usc.edu/research_matlab.html)] T. Choi et al., “Open-Source Cell-Free Massive MIMO Channel Data 2020”. URL: https://wides.usc.edu/research_matlab.html* *[[Gomez2021Air](https://arxiv.org/abs/2103.09135)] J. Gomez-Ponce et al., "Air-to-Ground Directional Channel Sounder With 64-antenna Dual-polarized Cylindrical Array," arXiv preprint arXiv:2103.09135, 2021.* 