University of Oulu

C. Ganewattha, Z. Khan, J. J. Lehtomäki and M. Matinmikko-Blue, "Real-Time Quantile-Based Estimation of Resource Utilization on an FPGA Platform Using HLS," in IEEE Access, vol. 8, pp. 43301-43313, 2020, doi: 10.1109/ACCESS.2020.2977760

Real-time quantile-based estimation of resource utilization on an FPGA platform using HLS

Saved in:
Author: Ganewattha, Chanaka1; Khan, Zaheer1; Lehtomäki, Janne J.1;
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, 90014 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.3 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-05-07


Hardware accelerated modules that can continuously measure/analyze resource (frequency channels, power, etc.) utilization in real-time can help in achieving efficient network control, and configuration in cloud managed wireless networks. As utilization of various network resources over time often exhibits broad and skewed distribution, estimating quantiles of metrics to characterize their distribution is more useful than typical approaches that tend to focus on measuring average values only. In this paper, we describe the development of a real-time quantile-based resource utilization estimator module for wireless networks. The intensive processing tasks run on the FPGA, while the command and control runs on an embedded ARM processor. The module is implemented by using high level synthesis (HLS) on a Xilinx’s Zynq-7000 series all programmable system on chip board. We test the performance of the implemented quantile estimator module, and as an example, we focus on forecasting congestion with real frequency channel utilization data. We compare the results from the implemented module against the results from a theoretical quantile estimator. We show that with high accuracy and in real time, the implemented module can perform quantile estimation and can be utilized to perform forecasting of congestion in wireless frequency spectrum utilization.

see all

Series: IEEE access
ISSN: 2169-3536
ISSN-E: 2169-3536
ISSN-L: 2169-3536
Volume: 8
Pages: 43301 - 43313
Article number: 9020050
DOI: 10.1109/ACCESS.2020.2977760
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the Business Finland through the MOSSAF Project, and in part by the Academy of Finland through the 6Genesis Flagship under Grant 318927.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © The Authors 2020. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see