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SWIPT-Enabled NOMA Networks with Full-Duplex Relaying

机译:具有全双工中继的支持SWIPT的NOMA网络

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This paper investigates a simultaneous wireless information and power transfer (SWIPT)-enabled non- orthogonal multiple access (NOMA) network with full- duplex (FD) relaying, where a multi-antenna source transmits information to two users. The nearby user is with multiple antennas, which receives its own information and harvests energy from the signals transmitted by the source and also help forward information to the far-end user. For such a system, an optimization problem is formulated to minimize the required transmit power by jointly optimizing beamforming vectors and power splitting (PS) ratio under the energy harvesting and users' data rate constraints of both users. As the problem is non- convex with unknown solution, a bilevel- optimization method is proposed to solve it via semidefinite relaxation (SDR) and the global optimal solution is achieved with perfect self- interference cancellation. However, since self- interference may not be cancelled perfectly in practice, a successive convex approximation (SCA) based algorithm with low complexity is proposed to obtain a near optimal solution. Numerical results show that integrating NOMA, FD relaying and SWIPT in a single communication system is able to greatly reduce the required transmit power. Besides, the effects of the parameters including the data rate threshold and the energy storage amounts, on the system performance are also discussed.
机译:本文研究了具有全双工(FD)中继的同时无线信息和电力传输(SWIPT)的非正交多址(NOMA)网络,其中多天线源将信息发送到两个用户。附近的用户具有多个天线,其接收其自己的信息并从源发送的信号收集能量,并且还可以帮助向远端用户转发信息。对于这样的系统,配制优化问题以通过在能量收集和用户的数据速率约束下联合优化波束形成向量和功率分割(PS)比率来最小化所需的发射功率。由于该问题具有未知解决方案的非凸,提出了一种通过Semidefinite弛豫(SDR)来解决它的胆量 - 优化方法,并且通过完美的自干扰取消实现全局最佳解决方案。然而,由于在实践中可以不完全取消自干扰,所以提出了一种具有低复杂度的基于凸的近似(SCA)算法,以获得近最佳解决方案。数值结果表明,单个通信系统中的集成NOMA,FD中继和SWIPT能够大大减少所需的发射功率。此外,还讨论了包括数据速率阈值和能量存储量的参数对系统性能的影响。

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