基于EH的D2D通信中继选择算法

doi:10.7523/j.ucas.2020.0023

中国科学院大学学报 ›› 2022, Vol. 39 ›› Issue (1): 119-126.DOI: 10.7523/j.ucas.2020.0023

• 电子信息与计算机科学 • 上一篇

基于EH的D2D通信中继选择算法

陈光祖^1,2,3, 黄鑫陈^1,2, 谭冲^1,3, 卜智勇^1,3

1. 中国科学院上海微系统与信息技术研究所, 上海;
2. 中国科学院大学, 北京 100049;
3. 中国科学院无线传感网与通信重点实验室, 上海 200050

收稿日期:2020-03-17 修回日期:2020-04-27 发布日期:2021-06-01
通讯作者: 陈光祖
基金资助:
上海市科委科研计划项目（18511106400）资助

Relay selection algorithm based on energy harvest in D2D communication

CHEN Guangzu^1,2,3, HUANG Xinchen^1,2, TAN Chong^1,3, BU Zhiyong^1,3

1. Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Key Laboratory of Wireless Sensor Networks and Communications, Chinese Academy of Sciences, Shanghai 200050, China

Received:2020-03-17 Revised:2020-04-27 Published:2021-06-01

摘要/Abstract

摘要： 为了使D2D通信高效节能地选择中继节点，结合能量收集技术和D2D技术，构建一种基于能量收集的D2D通信单小区模型，提出一种基于能量收集的中继选择算法。利用能量收集技术收集设备周围干扰信号携带的能量为中继通信供能，避免设备因本身剩余能量低于阈值而发生通信中断或选择中继失败。在物理域分析能量收集功率和信道情况；受人类社会竞选机制启发在备选中继集中由通信2个端节点共同投票选择合适中继，避免中继仅符合某一端节点要求导致整个通信中断。仿真结果表明本文所提算法与结合设备接触和剩余能量的D2D中继选择算法相比，提高了中继选择成功概率、设备生存时间以及系统吞吐量。

关键词: 设备到设备通信, 能量收集, 中继选择, 竞选机制

Abstract: In order to select the relay node efficiently and energy-saving for D2D communication, we combine energy harvesting technology and D2D technology, build a D2D homogenous cell model based on energy harvesting, and propose a relay selection algorithm based on energy collection. Using energy harvesting technology to provide relay energy, the node is avoided from communication interruption or selection relay failure due to its low residual energy. Energy harvesting power and channel conditions are analyzed in the physical domain, and the appropriate relay in the alternative relay set is selected by the communication two-end node inspired by the human social campaign mechanism, so as to avoid the interruption of the entire communication caused by the relay meeting only one node requirement. The simulation results show that the algorithm proposed in this paper improves the probability of relay selection success, equipment survival time and system throughput compared with the prestige-based relay selection algorithm.

Key words: device-to-devicce communication, energy harvest, relay selection, campaign mechanism

中图分类号:

TN912

陈光祖, 黄鑫陈, 谭冲, 卜智勇. 基于EH的D2D通信中继选择算法[J]. 中国科学院大学学报, 2022, 39(1): 119-126.

CHEN Guangzu, HUANG Xinchen, TAN Chong, BU Zhiyong. Relay selection algorithm based on energy harvest in D2D communication[J]. Journal of University of Chinese Academy of Sciences, 2022, 39(1): 119-126.

参考文献

[1] Lin X Q, Andrews J G, Ghosh A, et al. An overview of 3GPP device-to-device proximity services[J]. IEEE Communications Magazine, 2014, 52(4):40-48.
[2] Doppler K, Rinne M, Wijting C, et al. Device-to-device communication as an underlay to LTE-advanced networks[J]. IEEE Communications Magazine, 2009, 47(12):42-49.
[3] Zhu C S, Leung V C M, Shu L, et al. Green internet of things for smart world[J]. IEEE Access, 2015, 3:2151-2162.
[4] Ansari R I, Hassan S A. Opportunistic large array with limited participation:an energy-efficient cooperative multi-hop network[C]//2014 International Conference on Computing, Networking and Communications (ICNC). February 3-6, 2014, Honolulu, HI, USA. Hawaii:IEEE, 2014:831-835.
[5] Harb A. Energy harvesting:state-of-the-art[J]. Renewable Energy, 2011, 36(10):2641-2654.
[6] Sakr A H, Hossain E. Cognitive and energy harvesting-based D2D communication in cellular networks:stochastic geometry modeling and analysis[J]. IEEE Transactions on Communications, 2015, 63(5):1867-1880.
[7] Ansari R I, Chrysostomou C, Hassan S A, et al. 5G D2D networks:techniques, challenges, and future prospects[J]. IEEE Systems Journal, 2018, 12(4):3970-3984.
[8] Alkurd R, Shubair R M, Abualhaol I. Survey on device-to-device communications:challenges and design issues[C]//2014 IEEE 12th International New Circuits and Systems Conference(NEWCAS). June 22-25, 2014. Trois-Rivieres QC, Canada. IEEE, 2014:361-364.
[9] 敖松林. 蜂窝网络下基于D2D的Relay技术研究[D]. 成都:电子科技大学, 2017.
[10] 顾闻. 基于D2D的中继选择算法研究[D]. 南京:南京邮电大学, 2013.
[11] Kim T, Dong M M. An iterative Hungarian method to joint relay selection and resource allocation for D2D communications[J]. IEEE Wireless Communications Letters, 2014, 3(6):625-628.
[12] Luo Y, Hong P L, Su R L, et al. Resource allocation for energy harvesting-powered D2D communication underlaying cellular networks[J]. IEEE Transactions on Vehicular Technology, 2017, 66(11):10486-10498.DOI:10.1109/TVT.2017.2727144.
[13] Yao Y Y, Huang S, Beaulieu N C, et al. Cooperative transmission in cognitive and energy harvesting-based D2D networks[C]//2017 IEEE Wireless Communications and Networking Conference (WCNC). March 19-22, 2017, San Francisco, CA, USA. IEEE, 2017:1-6.
[14] Li R Z, Hong P L, Li D F, et al. Energy harvesting-based D2D relaying achieving energy cooperation underlaying[C]//ICC 2019-2019 IEEE International Conference on Communications (ICC). May 20-24, 2019, Shanghai, China:IEEE, 2019:1-7.
[15] Zhou H, Ji Y S, Li J, et al. Joint mode selection, MCS assignment, resource allocation and power control for D2D communication underlaying cellular networks[C]//2014 IEEE Wireless Communications and Networking Conference (WCNC). April 6-9, 2014, Istanbul, Turkey. IEEE, 2014:1667-1672.
[16] 马克, 吴洋. 一种基于簇内中继转发的D2D协作通信算法[J].微电子学与计算机, 2017, 34(1):48-52, 57.
[17] 王汝言, 缪懿, 闫俊杰. 一种结合威望的D2D通信中继选择算法[J]. 西安电子科技大学学报, 2018, 45(1):76-82.
[18] Lu X, Wang P, Niyato D, et al. Wireless networks with RF energy harvesting:a contemporary survey[J]. IEEE Communications Surveys & Tutorials, 2015, 17(2):757-789.
[19] 钱志鸿, 胡良帅, 田春生, 等. 基于非均衡求解的D2D多复用通信资源块分配算法研究[J]. 电子与信息学报, 2019, 41(12):2810-2816.

基于EH的D2D通信中继选择算法

Relay selection algorithm based on energy harvest in D2D communication

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