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Subcarrier allocation based Simultaneous Wireless Information and Power Transfer algorithm in 5G cooperative OFDM communication systems

机译：5G协作OFDM通信系统中基于子载波分配的同时无线信息和功率传输算法

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摘要

Self-sustainable communications are highly vital for large amounts of mobile terminals in the Fifth Generation (5G) communication systems. Simultaneous Wireless Information and Power Transfer (SWIPT) makes it possible that terminal transfers information while prolonging battery life by harvesting Radio Frequency (RF) energy. Though the traditional sub-carrier allocation based SWIPT algorithm in OFDM communication systems can optimize resource allocation, the receiver often cannot achieve higher information decoding rate when the channel condition of direct transmission deteriorates. In view of this situation, a sub-carrier allocation based SWIPT algorithm in 5G cooperative OFDM communication systems is proposed in this paper. The amplify-and-forward protocol is adopted by relay node which transmits information from source node to destination node by using a part of its sub-carriers. The remaining sub-carriers are used for energy harvesting. On the premise of minimum threshold of harvested energy, the sub-carrier and power allocations at relay node are optimized by establishing and solving the corresponding optimization model. Simulation results reveal that the proposed algorithm not only achieves the optimal sub-carrier and power allocations, but also improves information decoding rate with fast converging speed.
机译：对于第五代（5G）通信系统中的大量移动终端而言，自我维持的通信至关重要。同时进行无线信息和功率传输（SWIPT），使得终端可以通过收集射频（RF）能量在传输信息的同时延长电池寿命。尽管OFDM通信系统中基于传统子载波分配的SWIPT算法可以优化资源分配，但是当直接传输的信道条件恶化时，接收机通常无法获得更高的信息解码率。针对这种情况，本文提出了一种基于子载波分配的5G协作OFDM通信系统中的SWIPT算法。中继节点采用放大转发协议，该中继节点通过使用一部分子载波将信息从源节点传输到目的节点。其余子载波用于能量收集。在建立能量最小阈值的前提下，通过建立和求解相应的优化模型对中继节点的子载波和功率分配进行优化。仿真结果表明，该算法不仅实现了最优的子载波和功率分配，而且收敛速度快，提高了信息解码率。

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