基于时间反转OFDM的无线供电通信网络和速率最大化研究

Wei Liu, Fang Wei Li, Hai Bo Zhang, Bo-ping Li
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引用次数: 0

摘要

研究了一种基于正交频分复用(OFDM)和时间反转(TR)的无线电力通信网络(WPCN)。本文采用“收获后传输”协议,将传输时间块分为三个阶段,第一阶段用于电力传输,第二阶段用于TR检测,第三阶段用于信息传输。能量限制接入点(AP)和终端节点从功率信标(PB)发出的射频信号中获取能量,辅助终端数据传输。能量有限的AP和终端节点从PB发出的射频信号中获取能量,辅助终端数据传输。在TR阶段和无线信息传输(WIT)阶段,终端利用收集到的能量将TR检测信号发送给AP, AP利用收集到的能量通过OFDM将独立的信号发送给多个终端。为了使WPCN的总速率最大化,对能量收集时间和AP功率分配进行了联合优化。在能量因果约束下,研究了整个过程的子载波分配、功率分配和时间分配问题,由于子载波分配涉及二元变量,因此该问题属于混合整数非凸规划问题。将该问题转化为拟凸问题,利用二叉搜索法求最优解。仿真结果验证了该方案的有效性。结果表明,与参考方案相比,该方案显著提高了终端和速率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on wireless Powered Communication Networks Sum Rate Maximization based on time Reversal OFDM
This paper studies a wireless power communication network(WPCN) based on orthogonal frequency division multiplexing (OFDM) with time reversal(TR). In this paper, the " Harvest Then Transmit " protocol is adopted, and the transmission time block is divided into three stages, the first stage is for power transmission, the second stage is for TR detection, and the third stage is for information transmission. The energy limited access point (AP) and the terminal node obtain energy from the radiofrequency signal sent by the power beacon (PB) to assist the terminal data transmission. The energy limited AP and the terminal node obtain energy from the radio frequency signal sent by the PB to assist the terminal data transmission. In the TR phase and the wireless information transmission (WIT) phase, the terminal transmits the TR detection signal to the AP using the collected energy, and the AP uses the collected energy to transmit independent signals to a plurality of terminals through OFDM. In order to maximize the sum rate of WPCN, the energy collection time and AP power allocation are jointly optimized. Under the energy causal constraint, the subcarrier allocation, power allocation and time allocation of the whole process are studied, and because of the binary variables involved in the subcarrier allocation, the problem belongs to the mixed integer non-convex programming problem. the problem is transformed into a quasiconvex problem, and then binary search is used to obtain the optimal solution. The simulation results verify the effectiveness of this scheme. The results show that the proposed scheme significantly improves the sum rate of the terminal compared to the reference scheme.
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