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Joint resource allocation and admission control for energy harvesting based cooperative overlay cognitive radio networks

机译:基于能源收集的合作覆盖认知无线电网络的联合资源分配和准入控制

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We propose the joint resource allocation and admission control schemes for energy-harvesting (EH) based cooperative overlay cognitive radio networks under imperfect channel state information (CSI) condition, where the primary-user (PU) pair and several secondary-users (SUs) cooperate in terms of both information transmission and energy harvesting. Specifically, each SU transmitter applies the power splitting technique to scavenge energy from signals radiated by the PU transmitter, and uses the harvested energy to serve the data transmission to its own receiver and forward the information for the PU transmitter. Also, we apply the OFDMA technique over the SUs to mitigate the interference caused by multiple co-existing cooperative SUs. To tackle the challenge of imperfect CSI, the effective data rate on each subcarrier of OFDMA and the effective energy that can be used by each SU transmitter are first derived and analyzed. Then, we develop the resource allocation schemes to efficiently allocate the OFDMA subcarriers and the PU's and co-existing SUs' transmission powers so that both the PU communication-pair's and all SU pairs' quality-of-service (QoS) requirements can be guaranteed. Moreover, we employ the fuzzy-logic technique for the admission control to determine the network access for SU pairs, when the QoS requirements for some parts of the PU and SU pairs cannot be guaranteed. Finally, we validate and evaluate the performance of our proposed joint resource allocation and admission control schemes through the numerical analyses.
机译:我们提出了在不完美信道状态信息(CSI)条件下基于基于能量收集(EH)的协作覆盖认知无线电网络的联合资源分配和准入控制方案,其中主要用户(PU)对和几个二级用户(SUS)根据信息传输和能量收集的方式合作。具体地,每个SU发射机应用功率分割技术,以从由PU发射器辐射的信号释放能量,并使用收获的能量以向其自己的接收器提供数据传输并将PU发射器的信息转发。此外,我们将OFDMA技术应用于SUS上,以减轻由多个共存合作SU引起的干扰。为了解决不完美CSI的挑战,首先衍生和分析每个SU发射器可以使用的OFDMA的每个子载波和有效能量的有效数据速率。然后,我们开发资源分配方案,以有效地分配OFDMA子载波和PU和共存SUS'传输功率,以便可以保证PU通信对和所有SU对的服务质量(QoS)要求。此外,我们采用模糊逻辑技术进行准入控制,以确定SU对的网络访问,当PU和SU对的某些部分的QoS要求无法保证时。最后,我们通过数值分析验证和评估我们提出的联合资源分配和准入控制方案的表现。

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