通信学报 ›› 2018, Vol. 39 ›› Issue (9): 67-75.doi: 10.11959/j.issn.1000-436x.2018162

• 论文Ⅰ：5G及认知协作网络 • 上一篇    下一篇

基于能量采集认知无线网中的资源分配方案研究

龙彦1(),张晓倩1,2,方旭明1,何蓉1   

  1. 1 西南交通大学信息科学与技术学院，四川 成都 611756
    2 新誉集团北京防务技术研究院，北京 100071
  • 修回日期:2018-09-10 出版日期:2018-09-01 发布日期:2018-10-19
  • 作者简介:龙彦（1988-），女，贵州遵义人，博士，西南交通大学讲师、硕士生导师，主要研究方向为物联网、毫米波通信技术、5G 通信网络、认知无线网络、无线网络资源优化。|张晓倩（1993-），女，四川成都人，西南交通大学硕士生，主要研究方向为认知无线网络资源分配。|方旭明（1962-），男，浙江义乌人，博士，西南交通大学教授、博士生导师，主要研究方向为无线宽带接入控制、无线资源管理、多跳中继网络、高铁宽带无线接入。|何蓉（1974-），女，四川成都人，西南交通大学副教授，主要研究方向为无线Mesh网络、接入控制、拥塞控制和无线资源管理技术等。
  • 基金资助:
    国家自然科学基金资助项目(61601380);国家自然科学基金资助项目(61471303);中央高校基本科研业务费专项资金资助项目(2682016CX044);国家自然科学基金与广东联合基金资助项目(U1501255)

Resource allocation in cognitive radio network with energy harvesting

Yan LONG1(),Xiaoqian ZHANG1,2,Xuming FANG1,Rong HE1   

  1. 1 School of Information Science and Technology,Southwest Jiaotong University,Chengdu 611756,China
    2 New United Group,Defense Technology Research Institute,Beijing 100071,China
  • Revised:2018-09-10 Online:2018-09-01 Published:2018-10-19
  • Supported by:
    The National Natural Science Foundation of China(61601380);The National Natural Science Foundation of China(61471303);The Central University Basic Business Expenses Special Funding for Scientific Research Project(2682016CX044);The National Natural Science-Guangdong Joint Foundation(U1501255)

在线阅读

7

PDF下载

1027

摘要：

考虑到次用户的能量采集能力具有差异，且不同的次用户对信道的感知能力不同，在各信道上传输的信道质量也不同，基于单跳网络场景，以次级网络吞吐量为优化目标，结合能量采集技术，在能量因果关系约束下，提出一种次用户传输信道选择、传输功率控制、传输时间分配的多维联合资源优化模型。其中，针对原始的非凸优化问题，通过将其转化为一系列的凸优化子问题，得出资源分配算法（OPTA），并通过与传统资源分配算法（HDEA、OTA及RA）对比，验证了所提算法的正确性及有效性。仿真结果显示，在同一最大功率门限条件下， OPTA比传统的HDEA、OTA及RA的吞吐量分别提高了约6%、37%及50%；在同一信道增益差异度的条件下， OPTA比HDEA、OTA及RA的吞吐量分别提高了约30%、60%及94%；在同样次用户能量采集效率差异度下， OPTA比HDEA、OTA及RA的吞吐量分别提高了约27%、50%及92%。

关键词: 认知无线网, 能量采集, 资源分配, 能量因果关系

Abstract:

Considering the diversity of energy harvesting capability and spectrum sensing accuracy of SU,as well as dynamic channel quality,under the constraint of energy causality,the secondary network throughput maximization problem in single-hop cognitive radio networks with energy harvesting was studied.The transmission channel selection,transmission power control and transmission time allocation of SU were jointly optimized.Since the optimization problem was non-convex,by converting it into a series of convex optimization sub-problems,the optimize transmission power and transmission time algorithm (OPTA) was obtained.Compared with the existing resource allocation algorithms,such as,hybrid differential evolution algorithm (HDEA),optimized transmission algorithm (OTA),and random assignment channel algorithm (RA),the simulation results verify the correctness and effectiveness of the proposed algorithm.For example,under the same maximum transmission power constraint,the throughput of the proposed OPTA scheme could increase by around 6%,37% and 50% than that of HDEA,OTA and RA schemes respectively.Under the same channel gain diversity,the throughput of the proposed OPTA scheme could increase by around 30%,60% and 94% than that of HDEA,OTA and RA schemes respectively.Under the same energy harvesting efficiency diversity,the throughput of the proposed OPTA scheme could increase by around 27%,50% and 92% than that of HDEA,OTA and RA schemes respectively.

Key words: cognitive radio network, energy harvesting, resource allocation, energy causality

中图分类号: 

No Suggested Reading articles found!