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SWIPT-Enabled Full-Duplex NOMA Networks With Full and Partial CSI

机译:支持Swipt-Bible的全双工NOMA网络,完整和部分CSI

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摘要

This paper investigates the simultaneous wireless information and power transfer (SWIPT)-enabled cooperative non-orthogonal multiple access (NOMA) with full-duplex (FD) relaying. Two optimization problems are formulated to minimize the required transmit power with both full channel state information (CSI) and partial CSI (i.e., channel distribution information (CDI)). As both problems are non-convex without explicit solution methods, the semidefinite relaxation (SDR) is applied to relax them firstly. Then, for the full CSI case, a bilevel programming (BLP)-based method is presented to find the global optimal solution, and as an alternative, a successive convex approximation (SCA)-based method with arithmetic and geometric means (AGM) inequality is designed to achieve the suboptimal solution with low complexity. Moreover, in a special case with single transmit antenna, the closed-form expression of the optimal power allocation is derived for a given power splitting (PS) ratio and then the global optimal solution is found by using Bisection method. For the CDI case, the first-order Taylor expansion is adopted to approximate the non-convex constraints and then a SCA-based algorithm is designed to find the suboptimal solution. Numerical results validate our obtained theoretical results and proposed solution methods, and also show that by migrating FD relaying into SWIPT-enabled cooperative NOMA, a considerable system performance gain can be achieved for both full CSI and CDI cases. Besides, we also discuss the gain brought by NOMA and FD separately and the effect of the relay location on the system performance. It shows that FD may bring more contribution to the system performance improvement than NOMA.
机译:本文调查了具有全双工(FD)中继的同时无线信息和电力传输(SWIPT)的协同非正交多址(NOMA)。配制两个优化问题以最小化具有全信道状态信息(CSI)和部分CSI(即,信道分发信息(CDI))所需的发射功率。由于这两个问题都是非凸的没有明确解决方案方法,因此将SEMIDEFINITE弛豫(SDR)应用于首先放松。然后,对于完整的CSI案例,提出了一种基于BileVel编程(BLP)的方法,以找到全局最优解,以及具有算术和几何手段(AGM)不等式的替代的连续凸逼近(SCA)的方法旨在实现低复杂性的次优溶液。此外,在具有单个发射天线的特殊情况下,为给定的功率分割(PS)比率导出最佳功率分配的闭合表达式,然后通过使用双分离方法找到全局最佳解决方案。对于CDI案例,采用一阶泰勒扩展来近似非凸的约束,然后设计了基于SCA的算法来找到次优溶液。数值结果验证了我们获得的理论结果和提出的解决方案方法,并且还表明,通过将FD中继迁移到支持SWIPT的协作NOMA中,可以针对全CSI和CDI案例实现相当大的系统性能增益。此外,我们还分别讨论了NOMA和FD带来的增益,以及继电器位置对系统性能的影响。它表明FD可以为系统性能提高带来更多的贡献而不是NOMA。

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    School of Computer and Information Technology State Key Laboratory of Rail Traffic Control and Safety and the Beijing Key Laboratory of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China;

    School of Computer and Information Technology State Key Laboratory of Rail Traffic Control and Safety and the Beijing Key Laboratory of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China;

    School of Computer and Information Technology State Key Laboratory of Rail Traffic Control and Safety and the Beijing Key Laboratory of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China;

    Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Tsinghua University Beijing China;

    State Key Laboratory of Rail Traffic Control and Safety and the Beijing Engineering Research Center of High-Speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing China;

    School of Engineering Hong Kong University of Science and Technology Hong Kong;

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  • 正文语种 eng
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  • 关键词

    NOMA; System performance; Relays; Array signal processing; Receivers; Wireless communication; Optimization;

    机译:NOMA;系统性能;继电器;阵列信号处理;接收器;无线通信;优化;

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