Cognitive radio spectrum allocation using genetic algorithm
| Autor: | Jamal Elhachmi, Zouhair Guennoun |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
Mathematical optimization
Theoretical computer science Channel allocation schemes Computer science Computer Networks and Communications Crossover 020206 networking & telecommunications Throughput 02 engineering and technology Interference (wave propagation) Frequency allocation Computer Science Applications Cognitive radio Genetic algorithm Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Throughput (business) Communication channel |
| Zdroj: | EURASIP Journal on Wireless Communications and Networking. 2016(1) |
| ISSN: | 1687-1499 |
| DOI: | 10.1186/s13638-016-0620-6 |
| Popis: | This paper presents the problem formulation, development, and use of a robust dynamic genetic algorithm (GA) for channel allocation in cognitive radio. This approach offers an efficient way to access available spectrum for both primary and secondary users. The proposed dynamic genetic algorithms based on the new sophisticated crossover and mutation operators ensure the validity of channels and the fast convergence to the best solution in a highly dynamic environment. Compared with existing methods, simulation results demonstrate that our approach algorithm produces satisfactory results with reduced network interference and enhance efficiently the spectrum throughput. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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