Concept drift detection methods for deep learning cognitive radios : a hardware perspective |
|
Author: | Shahabuddin, Shahriar1,2; Khan, Zaheer2; Juntti, Markku2 |
Organizations: |
1Mobile Networks, Nokia, Oulu, Finland 2Centre for Wireless Communications, University of Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.3 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2021102151866 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2021
|
Publish Date: | 2021-10-21 |
Description: |
AbstractDeep learning models usually assume that training dataset and target data have the same distribution. If this is not the case, model mismatch causes performance degradation when the model is used with the real data. With radio frequency (RF) measurements from real data traffic, the exact distribution of the measurements is unknown in many cases and model mismatch is unavoidable. This is known as concept drift, or model mis- specification in deep learning, which we are interested in for cognitive radio dynamic spectrum access predictions. In this paper, we present three concept drift detection methods and their corresponding very large scale integration (VLSI) circuits. The circuits are mapped on a Xilinx Virtex-7 field-programmable gate array (FPGA) and the resource utilization results are provided. see all
|
Series: |
IEEE International Symposium on Circuits and Systems proceedings |
ISSN: | 0271-4302 |
ISSN-E: | 2158-1525 |
ISSN-L: | 0271-4302 |
ISBN Print: | 978-1-7281-9201-7 |
Pages: | 1 - 5 |
Article number: | 9401358 |
DOI: | 10.1109/ISCAS51556.2021.9401358 |
OADOI: | https://oadoi.org/10.1109/ISCAS51556.2021.9401358 |
Host publication: |
53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021 |
Conference: |
IEEE International Symposium on Circuits and Systems |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Copyright information: |
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |