Datasets
Standard Dataset
SumRateDataset
- Citation Author(s):
-
AbdulahiBadrudeen
Hanyang University, Seoul - Submitted by:
- Abdulahi Badrudeen
- Last updated:
- Mon, 07/08/2024 - 15:59
- DOI:
- 10.21227/64ms-d112
- Data Format:
- License:
38 Views- Categories:
- Keywords:
Abstract
This letter presents a random forest regression (RFR)-based adaptive power allocation (APA) scheme to predict an optimized power factor for user's fair access to data rate in a downlink mmWave non-orthogonal multiple access systems. Notably, the proposed APA scheme learns from the sum rates dataset associated with both distance and inverse pathloss (power factor optimization) models to predict optimized power factors with respect to average value approach. Link level simulation results corroborate the fitness of the proposed scheme for users' fair access to data rate in both line of sight and non-line of sight links.
The dataset comprises the results obtained from the deployment of dynamic power allocation on the bases of the base station to users' distances and the inverse pathloss model. Column 1 contains Link (LOS and NLOS), Second column label indicates the corresponding power allocation model deployed, while column 3 to 6 contains the powerr allocation factors for user 1_1 to user 2_2. The 7th column contains the Signal to Noise Ratio (SNR) power. 8th to 11th column contains various user data rates corresponding to each SNR, while the last column contains the system's sum rates.
Documentation
| Attachment | Size |
|---|---|
 Read me file | 11.58 KB |
Comments
The sum rate dataset was generated from the deployment of dynamic power allocation introduced in [1] for hybrid beamforming NOMA communication.
[1] A. A. Badrudeen, C. Y. Leow and S. Won, "Hybrid Beamformer Exploiting Multistream per User Transmission for Millimeter-
Wave NOMA Communications," in IEEE Access, vol. 10, pp. 23074-23085, 2022.