Abstract

在认知无线电(Cognitive Radio, CR)网络中,频谱切换技术是提高用户服务质量(QoS),保证授权用户(Primary User, PU)优先使用权的重要技术之一。本文根据CR网络中认知用户的行为为其建立了可执行的自上而下的着色Petri网(CPN)模型,克服了传统马尔科夫链(MC)为系统建模时的无记忆性,以及易于产生状态空间爆炸等问题,对不同场景的模拟更灵活,计算量更低,具有较强的开放性;通过Monitor监控器分析模型性能,验证了模型的正确性。 In Cognitive Radio Networks (CRN), spectrum mobility effectively improves the user’s Quality of Service (QoS), and has become one of the important technologies to ensure the priority of primary users and solve the scarcity of spectrum resources. An executable top-down hierarchical Colored Petri Net (CPN) model is developed for spectrum handoff in CRN. It breaks through Markov Chain’s (MC) explicit limitation, which includes MC’s memoryless property and proneness to state space explosion in evaluating handoff process, and the simulation results show that CPN offers significant advantages over MC in modeling handoff strategies and evaluating their performance with less computational complexity in addition to its flexibility and adaptability to different scenarios.

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