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

机译:基于能量收集的协作覆盖认知无线电网络的联合资源分配和许可控制

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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:我们提出了在不完善的信道状态信息(CSI)条件下基于能量收集(EH)的协作覆盖认知无线电网络的联合资源分配和接纳控制方案,其中主要用户(PU)对和几个次要用户(SU)在信息传输和能量收集方面进行合作。具体地,每个SU发送器应用功率分配技术以从PU发送器辐射的信号中清除能量,并使用所收集的能量来将数据传输到其自己的接收器并转发给PU发送器。另外,我们在SU上应用OFDMA技术来减轻由多个共存的协作SU引起的干扰。为了解决CSI不完善的挑战,首先要导出和分析OFDMA每个子载波上的有效数据速率以及每个SU发射机可以使用的有效能量。然后,我们开发资源分配方案,以有效地分配OFDMA子载波以及PU和共存SU的传输功率,从而可以保证PU通信对和所有SU对的服务质量(QoS)要求。此外,当不能保证PU和SU对某些部分的QoS要求时,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。最后,我们通过数值分析验证和评估了我们提出的联合资源分配和接纳控制方案的性能。

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