A novel scheme for spectrum prediction in cognitive radio networks / Mehdi Askari and Rezvan Dastanian
An efficient spectrum prediction model is presented to improve the spectrum utilization in cognitive radio network. In this model, a novel improved version of Teaching-Learning-Based-Optimization algorithm, also referred to iTLBO algorithm, is proposed to train a feed forward artificial neural netwo...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Published: |
Universiti Teknologi MARA,
2021-10.
|
| Subjects: | |
| Online Access: | Link Metadata |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000 am a22000003u 4500 | ||
|---|---|---|---|
| 001 | repouitm_52056 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Askari, Mehdi |e author |
| 700 | 1 | 0 | |a Dastanian, Rezvan |e author |
| 245 | 0 | 0 | |a A novel scheme for spectrum prediction in cognitive radio networks / Mehdi Askari and Rezvan Dastanian |
| 260 | |b Universiti Teknologi MARA, |c 2021-10. | ||
| 500 | |a https://ir.uitm.edu.my/id/eprint/52056/1/52056.pdf | ||
| 520 | |a An efficient spectrum prediction model is presented to improve the spectrum utilization in cognitive radio network. In this model, a novel improved version of Teaching-Learning-Based-Optimization algorithm, also referred to iTLBO algorithm, is proposed to train a feed forward artificial neural network (ANN). The performance of the proposed iTLBO-ANN model is compared with some hybrid prediction models, including the genetic algorithm with ANN (GA-ANN), the firefly algorithm with ANN (FF-ANN), and the conventional TLBO algorithm with ANN (TLBO- ANN). Performance evaluation via a real-word spectrum data set (GSM-900) confirms that iTLBO-ANN outperforms other spectrum prediction schemes in terms of prediction error and prediction efficiency. | ||
| 546 | |a en | ||
| 690 | |a Radio | ||
| 690 | |a Radio frequency identification systems | ||
| 690 | |a Probes (Electronic instruments) | ||
| 655 | 7 | |a Article |2 local | |
| 655 | 7 | |a PeerReviewed |2 local | |
| 787 | 0 | |n https://ir.uitm.edu.my/id/eprint/52056/ | |
| 787 | 0 | |n https://jeesr.uitm.edu.my/ | |
| 856 | 4 | 1 | |u https://ir.uitm.edu.my/id/eprint/52056/ |z Link Metadata |