In this work, we present the Cognitive Zone-Based spectrum assignment algorithm (CZB). Our algorithm is capable of observing the network traffic and acquiring information regarding the network services, thus using it to calibrate the division of the spectrum into partitions. To achieve this, the CZB algorithm uses an upgraded version of the Static Zone-Based spectrum assignment algorithm. Our results show that CZB algorithm can indeed achieve its objective, and even improve the fairness under certain conditions. Simulations show that CZB algorithms can achieve up to 10 times better fairness under certain conditions when compared to the Spectrum Sharing FirstFit algorithm.
|Title of host publication||22nd Conference on Optical Network Design and Modelling, ONDM 2018 - Proceedings|
|Editors||Johann M. Marquez-Barja, Achim Autenrieth, Marco Ruffini, Anna Tzanakaki, Ramon Casellas|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Number of pages||6|
|Publication status||Published - 25 Jun 2018|
|Event||22nd Conference on Optical Network Design and Modelling, ONDM 2018 - Dublin, Ireland|
Duration: 14 May 2018 → 17 May 2018
|Name||22nd Conference on Optical Network Design and Modelling, ONDM 2018 - Proceedings|
|Conference||22nd Conference on Optical Network Design and Modelling, ONDM 2018|
|Period||14/05/18 → 17/05/18|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This work was supported in part by FAPES and by CAPES Foundation, Ministry of Education of Brazil.
© 2018 IFIP.
Copyright 2018 Elsevier B.V., All rights reserved.
- Elastic Optical Networks
- Spectrum Assignment
- Spectrum Management