Cognitive Radio Spectrum Assignment Based on Invasive Weed Optimization Algorithm

DOI

10.2991/ecae-17.2018.26How to use a DOI?

Keywords

cognitive radio; spectrum assignment; invasive weed optimization algorithm; graph coloring

Abstract

According to the problem of the optimization of overall performance of idle spectrum assignment for cognitive radio, it proposed a spectrum assignment method for cognitive radio based on binary weed algorithm. Considering maximizing total network efficiency and fair effectiveness as a criterion, the algorithm is designed and implementation steps are presented. Simulation and analysis compares the solution of the spectrum assignment with Genetic Algorithm and particle swarm algorithm. The results show that the spectrum assignment algorithm based on binary invasive weed algorithm has a higher performance. It can achieve maximizing sum reward and proportional fair better and receiving a better optimal solution.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wu Xie
AU  - Xiao Li
AU  - Chuanji Zhu
AU  - Liangjie Yang
PY  - 2017/12
DA  - 2017/12
TI  - Cognitive Radio Spectrum Assignment Based on Invasive Weed Optimization Algorithm
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 119
EP  - 122
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.26
DO  - 10.2991/ecae-17.2018.26
ID  - Xie2017/12
ER  -