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Optimizing multi-user CR transmission under RF energy harvesting

机译：在射频能量收集下优化多用户CR传输

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摘要

The cognitive radio (CR) transmission provides an exciting opportunity to enhance the overall spectrum utilization. Moreover, recent emphasis on green radio communication has emerged with more focus towards energy harvesting (EH) nodes in wireless transmission. Radio frequency (RF) EH from ambient sources has potential to reduce dependencies on batteries and other constant sources. In this paper, we consider a novel EH based CR underlay transmission where each secondary user exploits the entire spectrum such that one channel is dedicated for data transmission while the remaining channels are used for EH. A joint optimization problem for channel assignment to the secondary users (SUs) for transmission and power allocation at each transmitting node is considered. The transmission parameters for multiple time slots are jointly optimized to realize the real benefits of EH. A promising solution is derived with duality theory where the dual function is solved through convex optimization techniques and the user matching is obtained from the Hungarian algorithm. Simulation results are provided to highlight the exciting benefits of EH in CR transmission. (C) 2018 Elsevier B.V. All rights reserved.
机译：认知无线电（CR）传输为提高整体频谱利用率提供了令人兴奋的机会。此外，近来对绿色无线电通信的重视已经出现，并且更加关注无线传输中的能量收集（EH）节点。来自环境源的射频（RF）EH具有减少对电池和其他恒定源的依赖性的潜力。在本文中，我们考虑了一种新颖的基于EH的CR参考传输，其中每个次要用户都利用整个频谱，以使一个信道专用于数据传输，而其余信道用于EH。考虑了在每个发射节点上分配给次要用户（SU）进行传输和功率分配的信道的联合优化问题。共同优化了多个时隙的传输参数，以实现EH的真正优势。用对偶理论推导出了一个有前途的解决方案，其中通过凸优化技术解决对偶函数，并从匈牙利算法中获得用户匹配。提供仿真结果以突出EH在CR传输中的令人兴奋的好处。 （C）2018 Elsevier B.V.保留所有权利。

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  • 来源
    《Physical Communication》 |2019年第2期|209-216|共8页
  • 作者

    Ali Zain; Sidhu Guftaar Ahmad Sardar; Waqas Muhammad; Gao Feifei;

  • 作者单位

    Bahria Univ Islamabad, Dept Elect Engn, Islamabad, Pakistan;

    COMSATS Univ Islamabad, Dept Elect Engn, Pk Rd, Islamabad 45550, Pakistan;

    Tsinghua Univ, Dept Automat, State Key Lab Intelligent Technol & Syst, Tsinghua Natl Lab Informat Sci & Technol TNList, Beijing, Peoples R China;

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