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Energy allocation in rateless coded cognitive radio system |
LOU Wen-tao, ZHANG Zhao-yang, CHEN Shao-lei, YIN Rui |
Department of Information Science and Electronic Engineering, Zhejiang University,Hangzhou 310027, China |
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Abstract Maximizing energy effectiveness of widely applied cognitive radio system was researched. In consideration of both channel and system characteristics, an energy allocation algorithm was investigated for a rateless coded multichannel cognitive radio system, by using rateless code’s adaptivity with the dynamic channel environment to confront the unpredictable channel occupancies by the primary user (PU). With the employment of periodical spectrum sensing, the proposed algorithm allocates the sensing energy and transmission energy of the secondary user (SU) taking into account channel and system characteristics, meanwhile the constraint of interference to PU is guaranteed. Simulation results validated the effectiveness of the proposed algorithm under different channel or system characteristics.
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Published: 01 October 2012
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基于无速率编码的认知无线电系统能量分配算法
针对目前广泛应用的认知无线电技术,研究最大化认知系统能量利用率的问题.全局计入信道特性和系统本身特性对能量利用率的影响,利用无速率编码对网络动态环境的自适应能力以对抗主用户不可预知的出现,研究基于无速率编码的多信道认知无线电系统的能量分配算法.通过引入周期频谱感知模型,提出的能量分配算法根据信道和系统特性分配从用户的感知能量和传输能量,利用系统门限约束干扰概率以保护主用户通信.仿真结果表明,对应不同的信道或系统特性,提出的算法均能够显著降低能耗,提高能量利用率.
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