Name
Abstract | ||
|---|---|---|
Cognitive radio has been regarded as a promising technology to improve spectrum utilization significantly. Many studies have discussed underlay spectrum sharing and power control, but issues such as the interference of the primary system have just been considered as the constraint. In this paper, we build a spectrum allocation mathematical model which considers different interference intensity according to relative geographic locations between two SLs in the spectrum-sharing mode of cognitive radio network. Then it’s converted into multi-objective optimization problem. To solve the spectrum sharing problem, the multi-objective improved genetic algorithm is adopted. Simulation results show that our proposed methods greatly outperform the commonly used K-max-cut in graph theory. It can better realize the network benefit maximization and reduce the disturbance to the primary system by using the multi-objective optimization algorithm. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s11277-017-4514-7 | Wireless Personal Communications |
Keywords | Field | DocType |
Cognitive radio network,Spectrum sharing,Underlay model,Evolutionary algorithms | Mathematical optimization,Evolutionary algorithm,Computer science,Power control,Underlay,Frequency allocation,Optimization problem,Genetic algorithm,Maximization,Cognitive radio | Journal |
Volume | Issue | ISSN |
97 | 1 | 0929-6212 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Run-ze Wu | 1 | 21 | 4.14 |
| Li-yuan Gao | 2 | 0 | 0.34 |
| Liangrui Tang | 3 | 40 | 19.00 |
| Jiajia Zhu | 4 | 0 | 1.01 |