Cooperative Spectrum Decision in Cognitive Vehicular Network Based on Support Vector Machine
作者: Christopher Chembe Ismail Ahmedy Rafidah Md. Noor Douglas Kunda Michael Oche Abubakar Bello Tambawal
刊名: Malaysian Journal of Computer Science (ISSN 0127-9084), 2019, Vol.32 (2)
来源数据库: Malaysian Journal of Library & Information Science
关键词: Spectrum SensingCooperative DecisionCognitive RadioSVMVANET
原始语种摘要: Spectrum sensing is one of the core functionality of a cognitive radio system. Accurate identification of primarysystem signal can prevent interference and provide maximum protection to licensed users. However, manychallenges associated with spectrum sensing still exist. Examples include shadowing, multipath fading of theprimary user signal, hidden primary user problem and many more. To circumvent the challenges faced by sensingdevice, the cooperative decision from participating devices has been proposed in the literature. In this paper, wesuggest a cooperative decision based on support vector machine (SVM) for spectrum sensing in vehicularcommunication environment to mitigate shadowing and multipath fading. Spectrum sensing can be formulated as apattern recognition problem with sensing...
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关键词翻译
关键词翻译
  • shadowing 荫蔽
  • multipath 多路
  • sensing 感觉
  • Vector 矢量
  • Network 网络
  • fusion 融解
  • cooperative 合啄
  • decision 决定
  • SVM 共享虚拟存储器
  • fading 褪色