Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

The Mixed Cognitive Frequency Decision for Self-organized Networks

Authors
Xuekun Hao, Wenfeng Ma, Xiaohao Mo
Corresponding Author
Xiaohao Mo
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.22How to use a DOI?
Keywords
Cognitive radio; Self-organized networks; frequency decision; leaning algorithm, satisfaction performance.
Abstract
The paper studies the problem of distributed frequency decision problem in cognitive user (CU) network for optimizing satisfaction performance, based on the cognitive radio technology. For cognitive user, it can use both charged and free bands. Charged bands have to be paid and free bands have to be shared among cognitive users. Considering the work bandwidth limit and communication request for each cognitive user, our work is to maximize the network satisfaction performance of the cognitive user network which is defined as the satisfaction degree minus price paid. We propose a mixed cognitive frequency decision algorithm which could improve the network satisfaction performance. According to the experiment results, the proposed approach could work better compared with existing ones.
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Proceedings
3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.22How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xuekun Hao
AU  - Wenfeng Ma
AU  - Xiaohao Mo
PY  - 2019/04
DA  - 2019/04
TI  - The Mixed Cognitive Frequency Decision for Self-organized Networks
BT  - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.22
DO  - https://doi.org/10.2991/icmeit-19.2019.22
ID  - Hao2019/04
ER  -