能量采集认知无线电的量子蝙蝠最优合作策略

高洪元; 杜亚男; 张世铂; 刘丹丹

doi:10.11959/j.issn.1000-436x.2018149

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能量采集认知无线电的量子蝙蝠最优合作策略

论文Ⅰ：5G及认知协作网络 | 更新时间：2024-06-05

- 能量采集认知无线电的量子蝙蝠最优合作策略
- Optimal cooperative strategy based on quantum bat for cognitive radio of energy harvesting
- 通信学报 2018年39卷第9期页码：10-19
- 作者机构：
  
  哈尔滨工程大学信息与通信工程学院，黑龙江哈尔滨 150001
- 作者简介：
  
  [ "高洪元（1977-），男，黑龙江木兰人，博士，哈尔滨工程大学副教授、博士生导师，主要研究方向为无线通信系统、阵列信号处理、智能计算理论及应用。" ]
  [ "杜亚男（1992-），女，黑龙江讷河人，哈尔滨工程大学博士生，主要研究方向为量子优化算法、群智能计算、认知无线电和阵列信号处理等。" ]
  [ "张世铂（1994-），男，黑龙江哈尔滨人，哈尔滨工程大学博士生，主要研究方向为智能计算、物联网、5G网络和认知中继等。" ]
  [ "刘丹丹（1991-），女，黑龙江海伦人，哈尔滨工程大学硕士生，主要研究方向为绿色认知无线电技术和智能计算。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61571149);中国博士后基金特别资助项目(2015T80325)
- DOI：10.11959/j.issn.1000-436x.2018149
  中图分类号： TN914.34
- 网络出版日期：2018-09，
  
  纸质出版日期：2018-09-25
- 稿件说明：
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高洪元, 杜亚男, 张世铂, 等. 能量采集认知无线电的量子蝙蝠最优合作策略[J]. 通信学报, 2018,39(9):10-19.

Hongyuan GAO, Yanan DU, Shibo ZHANG, et al. Optimal cooperative strategy based on quantum bat for cognitive radio of energy harvesting[J]. Journal on communications, 2018, 39(9): 10-19.
高洪元, 杜亚男, 张世铂, 等. 能量采集认知无线电的量子蝙蝠最优合作策略[J]. 通信学报, 2018,39(9):10-19. DOI： 10.11959/j.issn.1000-436x.2018149.

Hongyuan GAO, Yanan DU, Shibo ZHANG, et al. Optimal cooperative strategy based on quantum bat for cognitive radio of energy harvesting[J]. Journal on communications, 2018, 39(9): 10-19. DOI： 10.11959/j.issn.1000-436x.2018149.

摘要

为了减少5G网络中认知中继无线通信系统的能量消耗并提高网络的频谱利用，在无线能量采集认知中继无线电系统中设计最优合作策略。针对所提最优合作策略，推导出次用户的最大吞吐量方程和中断概率。基于量子计算和蝙蝠算法的优化机制设计的量子蝙蝠优化算法可有效求解所推导的最大吞吐量方程，同时获得能量和信息合作传输的最优方案。仿真结果表明，所设计的最优合作策略不仅可以满足主用户的信息传输需求，还可以实现次用户系统的能量自供应，并提升次用户的通信质量，针对不同的仿真场景，所提策略性能均优于已有认知中继无线电合作策略的性能。

Abstract

In order to reduce energy consumption and improve spectral efficiency of the cognitive relay wireless communication system in 5G network

an optimal cooperative transmission strategy of information and energy was designed for cognitive relay radio with wireless energy harvesting.For the proposed optimal cooperative strategy

the maximal throughput formula and outage probability of secondary user were deduced.In order to resolve the derived maximum throughput equation

a quantum bat algorithm which was based on the optimization mechanism of quantum computing and bat algorithm was designed to solve the deduced equation

and the optimal cooperative transmission scheme for information and energy could be obtained.Simulation results show that the proposed optimal cooperative strategy not only can meet the information transfer demand of primary user

but also can realize the energy self-supply of the secondary user system and improve the communication quality of the secondary user.The proposed optimal cooperative strategy has a better performance than the cooperative strategy of existing cognitive relay radio for different simulation scenarios.

关键词

Keywords

references

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