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计算机工程 ›› 2020, Vol. 46 ›› Issue (11): 201-206,213. doi: 10.19678/j.issn.1000-3428.0056212

• 移动互联与通信技术 • 上一篇    下一篇

基于信能同传的认知中继网络性能研究

李新颖, 郝浩, 黄海燕   

  1. 兰州交通大学 电子与信息工程学院, 兰州 730070
  • 收稿日期:2019-10-08 修回日期:2020-01-15 发布日期:2020-01-17
  • 作者简介:李新颖(1978-),女,副教授、硕士,主研方向为无线电通信;郝浩,硕士研究生;黄海燕,副教授、博士。
  • 基金资助:
    国家自然科学基金(61901201);甘肃省自然科学基金(20JR5RA397)。

Research on Cognitive Relay Network Performance Based on Simultaneous Information and Power Transfer

LI Xinying, HAO Hao, HUANG Haiyan   

  1. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
  • Received:2019-10-08 Revised:2020-01-15 Published:2020-01-17

摘要: 针对认知网络传输中频谱效率与能量效率较低的问题,提出一种基于信能同传的认知中继网络时隙分配与传输方案。建立认知网络传输模型,实现认知用户和主用户交替使用频谱传输,在认知用户源节点与目的节点之间引入中继节点,从而在主用户占用频谱传输时采集和存储主用户发射信号的能量,并在频谱释放后利用该能量转发信号,同时推导出非完美频谱感知可靠性下认知用户吞吐量和能量效率表达式。仿真结果表明,该方案所得认知用户传输性能随着频谱感知可靠性的增加而提升,在低功耗场景下认知用户中引入能量采集中继节点,可有效提高认知网络吞吐量和能量效率。

关键词: 信能同传, 认知中继网络, 频谱感知, 吞吐量, 能量效率

Abstract: To address the low spectrum efficiency and low energy efficiency in cognitive network transmission,this paper proposes a slot allocation and transmission scheme based on simultaneous information and power transfer for cognitive relay networks.The transmission model for cognitive networks is established,in which the cognitive user and the primary user use spectrum transmission alternately.Then the relay node is introduced between the cognitive user’s source node and the destination node in order to collect and store the energy of the primary user’s transmitted signal when the primary user occupies the spectrum transmission.The energy is used to forward signals after the spectrum is released,and on this basis the expressions of the cognitive user’s throughput and energy efficiency under imperfect spectrum sensing reliability is deduced.Simulation results show that the transmission performance of the cognitive user of the proposed scheme increases with the spectrum sensing reliability,and the introduction of energy collection relay node for the cognitive user in low-power scenarios can effectively improve the throughput and energy efficiency of cognitive networks.

Key words: simultaneous information and power transfer, cognitive relay network, spectrum sensing, throughput, energy efficiency

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