基于广义三角分解的MIMO SWIPT系统数据速率最大化收发器设计

Ahmed Al-Baidhani, M. Benaissa, Mikko Vehkaperä
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引用次数: 1

摘要

在本文中,我们研究了一种在具有空间交换(SS)接收的点对点多输入多输出(MIMO)系统中同时进行无线信息和功率传输(SWIPT)的新方法。该方法基于广义三角分解(GTD)。该方法利用GTD结构,允许发射机联合使用最强子信道进行能量收集和信息交换,而这些传输可以在接收机分离,以符合SS系统的要求。本文提出了一种基于GTD的SWIPT的最优方案,该方案在有限的总发射功率下满足最小的收获能量要求,同时获得最优的子信道分配和最大的总数据速率。理论和数值结果表明,该方法明显优于基于奇异值分解(SVD)的空间域SWIPT系统。
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Transceiver Design for Data Rate Maximization of MIMO SWIPT System Based on Generalized Triangular Decomposition
In this paper, we investigate a new approach for simultaneous wireless information and power transfer (SWIPT) in point-to-point multiple-input multiple-output (MIMO) system with spatial switching (SS) reception. The new approach is based on the generalized triangular decomposition (GTD). The approach takes advantage of the GTD structure to allow the transmitter to use the strongest subchannel jointly for energy harvesting and information exchange while these transmissions can be separated at the receiver to comply with the SS system requirements. An optimal solution is developed in the paper for SWIPT based on GTD that jointly obtains the optimal subchannels assignment and maximizes the total data rate while meeting the minimum requirement of the harvested energy with limited total transmitted power. The theoretical and numerical results presented in this paper show that the proposed approach significantly outperforms the state of the art spatial domain SWIPT systems based on the singular value decomposition (SVD).
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