Wang Jingpu, Song Xin, Ma Yatao, Xie Zhigang
College of Computer Science and Engineering, Northeastern University, Shenyang 116026, China.
Sensors (Basel). 2020 Sep 21;20(18):5395. doi: 10.3390/s20185395.
The secure full-duplex (FD) simultaneous wireless information and power transfer (SWIPT) system and non-orthogonal multiple access (NOMA) have been deemed two promising technologies for the next generation of wireless communication. In this paper, the network is combined with device-to-device (D2D) and a practical bounded channel state information (CSI) estimation scheme. A system total transmit power minimization problem is studied and formulated as a multi-objective optimization (MOO) problem via the weighted Tchebycheff approach. A set of linear matrix inequalities (LMI) is used to transform the non-convex form of constraints into the convex form. Considering the imperfect CSI of the potential eavesdropper for robust power allocation, a bounded transmission beamforming vector design along with artificial noise (AN) is used, while satisfying the requirements from the secrecy rates as well as the energy harvesting (EH) task. Numerical simulation results validate the convergence performance and the trade-off between the uplink (UL) and downlink (DL) data transmit power. It is also shown that by FD and NOMA, the performance of the proposed algorithm is higher than that of half-duplex (HD) and orthogonal multiple access (OMA).
安全全双工（FD）同时无线信息与能量传输（SWIPT）系统和非正交多址接入（NOMA）被认为是下一代无线通信的两项很有前景的技术。本文将该网络与设备到设备（D2D）相结合，并提出了一种实用的有界信道状态信息（CSI）估计方案。研究了系统总发射功率最小化问题，并通过加权切比雪夫方法将其表述为多目标优化（MOO）问题。使用一组线性矩阵不等式（LMI）将约束的非凸形式转化为凸形式。考虑到潜在窃听者的不完善CSI以进行鲁棒功率分配，采用了一种有界传输波束成形向量设计并结合人工噪声（AN），同时满足保密率以及能量收集（EH）任务的要求。数值仿真结果验证了收敛性能以及上行链路（UL）和下行链路（DL）数据发射功率之间的权衡。结果还表明，通过FD和NOMA，所提算法的性能高于半双工（HD）和正交多址接入（OMA）。
