A new efficient hybridization for spectrum allocation in cognitive radio networks
| Autor: | Sihem Sehli, Malika Babes |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Quality of service Distributed computing 020206 networking & telecommunications 020101 civil engineering 02 engineering and technology Interference (wave propagation) Tabu search 0201 civil engineering Frequency allocation Cognitive radio 0202 electrical engineering electronic engineering information engineering Wireless business Communication channel |
| Zdroj: | BMSB |
| DOI: | 10.1109/bmsb49480.2020.9379834 |
| Popis: | limited spectrum resources and interferences are the fundamental challenges in Cognitive Radio Networks (CRN). With the increasing demand for spectrum with the evolution of wireless technologies, an efficient assignment of these resources that avoid the interference in an allocation’s plan becomes critical. In this paper, we propose a new efficient hybrid meta-heuristic which intents to assign the appropriate channel to the secondary users (SUs) in terms of its requirement without causing interference with the primary users (PUs) or other SUs (which use the same channel simultaney). Our proposition combines the Gray Wolf optimizer approach (GWO) with the Tabu Search (TS). The experiment results show a clear improvement in our proposal compared to the application of GWO without TS. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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