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首页> 外文期刊>IEEE Transactions on Communications >Secrecy Performance Optimization for Wireless Powered Communication Networks With an Energy Harvesting Jammer
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Secrecy Performance Optimization for Wireless Powered Communication Networks With an Energy Harvesting Jammer

机译:具有能量收集干扰器的无线通信网络的保密性能优化

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In this paper, we consider a wireless powered communication network with an energy harvesting (EH) jammer where eavesdroppers try to wiretap the communication between users and a hybrid access-point (H-AP). In our system, the H-AP first transmits an energy signal to recharge the batteries of the EH users and the EH jammer in the energy transfer (ET) phase. Then, in the subsequent information transfer (IT) phase, each user sends information to the H-AP in a time division multiple access manner, while the jammer generates jamming signals to interfere the eavesdroppers. We adopt two different secrecy performance measurements according to the level of channel state information (CSI) of the eavesdroppers. First, with a single user, we maximize the secrecy rate by optimizing the time allocation between the ET and the IT phase when perfect CSI of the eavesdroppers is available at all nodes. In contrast, when the instantaneous CSI of the eavesdroppers is not available at legitimate nodes, we analyze and minimize the secrecy outage probability. We also extend the single user analysis to a more general multi-user situation with an additional consideration of the transmit power allocation at the jammer. Finally, we evaluate the performance of our proposed solutions through simulations and demonstrate that a performance gain compared to conventional schemes becomes more pronounced with the increased number of eavesdroppers and users.
机译:在本文中,我们考虑了带有能量收集(EH)干扰器的无线通信网络,窃听者试图窃听用户与混合接入点(H-AP)之间的通信。在我们的系统中,H-AP首先传输能量信号,以在能量传输(ET)阶段为EH用户和EH干扰器的电池充电。然后,在随后的信息传输(IT)阶段,每个用户以时分多址方式将信息发送到H-AP,而干扰器会产生干扰信号,以干扰窃听者。我们根据窃听者的信道状态信息(CSI)的级别采用两种不同的保密性能度量。首先,当所有节点都具有完美的窃听者CSI时,我们可以通过优化ET和IT阶段之间的时间分配,以单个用户的身份最大化保密率。相反,当窃听者的瞬时CSI在合法节点上不可用时,我们将分析并最大程度地减少保密中断的可能性。我们还将单用户分析扩展到更一般的多用户情况,同时还要考虑干扰器的发射功率分配。最后,我们通过仿真评估了我们提出的解决方案的性能,并证明与传统方案相比,性能提高随着窃听者和用户数量的增加而变得更加明显。

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