School of Electronics & Information, Soochow University, Suzhou 215000, China.
Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324000, China.
Sensors (Basel). 2021 Aug 25;21(17):5720. doi: 10.3390/s21175720.
In order to improve the energy efficiency (EE) performance of cooperative networks, this study combines non-orthogonal multiple access (NOMA) with simultaneous wireless information and power transfer (SWIPT) technologies to construct a cooperative relay network composed of one base station (BS), multiple near users, and one far user. Based on the network characteristics, a time-division resource allocation rule is proposed, and EE formulas regarding direct-link mode and cooperative mode are derived. Considering user selection and decoding performance, to obtain the optimal EE, this study utilizes a iterative algorithm based on the golden section (GS-) to solve the EE optimization problem, which is affected by power transmitted from the BS, achievable rates under three communication links, and quality of service (QoS) constraints of users. The simulation results show that the GS- algorithm can obtain precise EE gains with low computational complexity. Compared with the traditional NOMA-SWIPT direct-link network model and the relay network model, the optimal EE of the established network model could be increased by 0.54 dB and 1.66 dB, respectively.
为了提高协作网络的能量效率(EE)性能,本研究将非正交多址(NOMA)与同时无线信息和功率传输(SWIPT)技术相结合,构建了由一个基站(BS)、多个近用户和一个远用户组成的协作中继网络。基于网络特点,提出了一种时分资源分配规则,并推导出了关于直接链路模式和协作模式的 EE 公式。考虑到用户选择和解码性能,为了获得最优的 EE,本研究利用基于黄金分割(GS-)的迭代算法来解决受 BS 传输功率、三条通信链路的可达速率以及用户服务质量(QoS)约束影响的 EE 优化问题。仿真结果表明,GS 算法可以在低计算复杂度的情况下获得精确的 EE 增益。与传统的 NOMA-SWIPT 直接链路网络模型和中继网络模型相比,所建立网络模型的最优 EE 分别提高了 0.54 dB 和 1.66 dB。