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Performance analysis of cognitive radio networks with generalized call holding time distribution of secondary user

机译:具有辅助用户的广义呼叫时间分布的认知无线电网络性能分析

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In cognitive radio networks (CRNs), spectrum handoff probability and expected number of spectrum handoffs are important parameters in the evaluation of network performance and design. This paper presents an analytical model for spectrum handoff probability and spectrum handoff rate for CRNs under general distribution of call holding time of secondary users (SUs). The standardized analytical forms of spectrum handoff probability and handoff rate of secondary network under negotiated scenario are derived for a complete service call duration. The effect of mobility parameters: departure rate of SUs ( and departure rate of spectrum holes ( on spectrum handoff are also reported in this paper. Extensive results for all the proposed analytical models are obtained and presented in this paper. Analytical results show that exponential and Erlangian distribution functions are not suitable for call holding time of SU in the analysis of spectrum handoff in CRNs. Moreover, the superiority of lognormal distribution function ascertains its use for call holding time of SU in spectrum handoff estimation for better CRN performances. The Monte-Carlo simulation is also performed for spectrum handoff probability to validate the analytical model.
机译:在认知无线电网络(CRN)中,频谱切换概率和频谱切换的预期数量是网络性能和设计评估中的重要参数。本文介绍了频谱切换概率和频谱切换率的频谱切换概率和频谱切换率,用于辅助呼叫保存时间(SUS)的呼叫保存时间的一般分布。派对在协商方案下的频谱切换概率和切换率的标准化分析形式和切换率为完整的服务呼叫持续时间。移动性参数的影响:SUS的出发率(以及谱孔的出发率(在本文中也报告了频谱切换。在本文中获得并介绍了所有提出的分析模型的广泛结果。分析结果表明指数和Erlangian分布功能不适用于CRNS频谱切换分析中SU的呼叫时间。此外,Lognormal分布函数的优越性确定了其用于频谱切换估计中SU的呼叫保持时间的用途,以获得更好的CRN性能。蒙特 - Carlo仿真也用于频谱切换概率来验证分析模型。

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