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Energy-Efficiency-Based Optimal Relay Selection Scheme With a BER Constraint in Cooperative Cognitive Radio Networks

机译:认知无线电网络中基于BER约束的基于能效的最优中继选择方案

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摘要

Due to the energy constraint of each cognitive user and potential secondary transmission errors, energy efficiency is very important for cognitive nodes in spectrum sensing and cooperative transmissions. In this paper, an (EAORS) scheme is proposed, in which the number of optimal relays is determined by a weighted objective function considering energy consumption in both spectrum sensing and the cooperative transmission phases, under the constraints of the global misdetection requirement and secondary cooperative transmission bit error rate (BER). In the proposed EAORS scheme, we investigate the tradeoff between detection accuracy and energy efficiency and construct the objective function as a weighted convex function of relay numbers with the consideration of global missing detection probability and cooperative transmission BER. This nonlinear convex problem is solved by applying numerical analysis to obtain the optimal relay numbers. Energy consumption analysis is conducted to show the effectiveness of the proposed EAORS scheme. Numerical results show that the proposed scheme outperforms a compressed sensing (CS)-based energy-efficient cooperative detection scheme and provides a tradeoff between detection accuracy and energy efficiency.
机译:由于每个认知用户的能量约束和潜在的二次传输错误,能量效率对于频谱感知和协作传输中的认知节点非常重要。本文提出了一种(EAORS)方案,其中在全局误检测要求和二次协作的约束下,考虑频谱感知和协作传输阶段的能耗,通过加权目标函数确定最优中继的数量传输误码率(BER)。在提出的EAORS方案中,我们研究了检测精度与能效之间的折衷,并考虑了全局丢失检测概率和协同传输BER,将目标函数构造为中继号的加权凸函数。通过应用数值分析来获得最佳继电器数,可以解决该非线性凸问题。进行了能耗分析,以显示所提出的EAORS计划的有效性。数值结果表明,该方案优于基于压缩感知(CS)的节能协同检测方案,并在检测精度和能效之间进行了权衡。

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