Support Vector Machine Based Spectrum Allocation Scheme for the Mobile Cognitive Radio Manhattan City Environments
| Autor: | Yao Wang, Yi Zhang, Yang Yang, Jiamei Chen, Yang Long |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Scheme (programming language)
021103 operations research Computer science business.industry Node (networking) 0211 other engineering and technologies Manhattan mobility model 020206 networking & telecommunications 02 engineering and technology Reuse Frequency allocation Support vector machine Cognitive radio Position (vector) 0202 electrical engineering electronic engineering information engineering business computer Computer network computer.programming_language |
| Zdroj: | 2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC). |
| DOI: | 10.1109/icivc50857.2020.9177436 |
| Popis: | Cognitive radio (CR) is proposed as a critical means to reuse the primary spectrum in recent years. However, the cognitive node mobility has not fully researched for the mobile cognitive radio networks (CRNs). In this paper, a support vector machine (SVM) based spectrum assignment scheme is presented in the Manhattan city mobility environments, which takes the position and speed information of cognitive nodes into consideration during the spectrum availability prediction. Numerical results show good performance in the total spectrum utilization comparing with the traditional resource allocation algorithms. |
| Databáze: | OpenAIRE |
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