绿色动力认知调度器中电路感知认知节点的能量消耗参与

Junaid Imtiaz, Talha Shakil, Arsalan Ansari
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引用次数: 0

摘要

高效节能的通信系统对于设备设计者和用户来说都是非常重要的。较高的能耗降低了系统的整体能源效率。绿色动力认知无线电(CR)是有效利用无线电频谱的一种有前途的方法。绿色CR能够将无线网络从频谱和能量的限制中解放出来。提出了一种基于电路感知认知节点(CN)能量消耗的绿色动力认知调度器(CS)协同方法。基于能量消耗参与(ECI)的合作,对系统的能量效率(EE)和吞吐量进行了数学推导。仿真结果表明,在考虑报告损失的情况下,与传统方法相比,该方法的EE提高了+ 40%。
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Energy Consumed Involvement for Circuit-Aware Cognitive Nodes in A Green Powered Cognitive Scheduler
Energy efficient communication systems are of great importance for both device designers and customers. Higher energy consumption decreases the overall energy efficiency of the systems. Green powered cognitive radio (CR) attributes a promising approach in effective utilization of the radio spectrum. Green powered CR is capable of liberating the wireless network from spectral and energy constraints. This paper proposes a cooperative approach based on energy consumed by circuit-aware cognitive nodes(CN) for a green-powered cognitive scheduler (CS). Energy efficiency (EE) and throughput of the system are derived mathematically for energy consumed involvement (ECI) based cooperation. Simulation results show that the proposed approach increases EE by $+40\%$ compared to conventional approach when reporting loss is considered.
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