期刊文献+

携能大规模MIMO资源分配算法研究综述 被引量:1

Resource Allocation Algorithm for Wireless Power Transfer Enabled Massive MIMO:A Survey
下载PDF
导出
摘要 将大规模多输入多输出(Multiple-Input Multiple-Output,MIMO)技术与无线能量传输(Wireless Power Transfer,WPT)技术相结合,能够帮助实现节能降耗,契合国内外绿色通信发展浪潮。针对WPT技术在大规模MIMO研究领域的应用问题,总结了当前携能大规模MIMO技术的研究现状及发展趋势,从频效、能效、安全性等多个方面对携能大规模MIMO资源分配算法进行综述,探讨了学术界在携能大规模MIMO资源分配算法上的重要研究成果。在现有算法研究进展分析的基础上,对当前研究中携能大规模MIMO资源分配算法研究情况存在的问题进行分析,并对未来的发展方向进行了展望。 The combination of massive multiple-input multiple-output(MIMO)technology and wireless power transfer(WPT)technology can help achieve energy saving and consumption reduction,and fit the development trend of green communication at home and abroad.In view of the application of WPT technology in massive MIMO research area,current research status and development trend of massive MIMO technology with WPT are summarized.The resource allocation algorithms for wireless power transfer enabled MIMO are summarized in terms of frequency efficiency,energy efficiency,and security.Some important research results of academia in the resource allocation optimization algorithms in massive MIMO systems are discussed.Based on the analysis of the present researches of resource allocation algorithms for wireless power transfer enabled massive MIMO,existing problems in the current research are analyzed,and future development direction is prospected.
作者 樊自甫 蒲秋羽 王正强 万晓榆 FAN Zifu;PU Qiuyu;WANG Zhengqiang;WAN Xiaoyu(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处 《无线电通信技术》 2022年第1期16-24,共9页 Radio Communications Technology
基金 国家自然科学基金(61701064,61661005) 重庆自然科学基金(cstc2019jcyj-msxmX0264)。
关键词 大规模MIMO 无线能量传输 能效 频效 安全性 资源分配 massive MIMO wireless power transfer energy efficiency spectral efficiency secrecy resource allocation
  • 相关文献

参考文献6

二级参考文献88

  • 1高西奇,尤肖虎,江彬,潘志文.面向后三代移动通信的MIMO-GMC无线传输技术[J].电子学报,2004,32(F12):105-108. 被引量:10
  • 2METIS. Mobile and wireless communications enablers for the 2020 information society. In: EU 7th Framework Programme Project, https://www.metis2020.com.
  • 3Wen T, Zhu P Y. 5G: A technology vision. Huawei, 2013. http://www.huawei.com/en/about-huawei/publications/ winwin-magazine/hw-329304.htm.
  • 4Wang C X, Haider F, Gao X Q, et al. Cellular architecture and key technologies for 5G wireless communication networks. IEEE Commun Mag, 2014, 52: 122-130.
  • 53GPP. Physical Channels and Modulation (Release 11). 3GPP TS36.211. 2010.
  • 6Marzetta T L. How Much training is required for multiuser MIMO? In: Proceedings of the 40th Asilomar Conference on Signals, Systems, & Computers, Pacific Grove, 2006. 359-363.
  • 7Marzetta T L. Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans Wirel Commun, 2010, 9: 3590-3600.
  • 8Ngo H Q, Larsson E G, Marzetta T L. Energy and spectral efficiency of very large multiuser MIMO systems. IEEE Trans Commun, 2013, 61: 1436-1449.
  • 9You X H, Wang D M, Sheng B, et al. Cooperative distributed antenna systems for mobile communications. IEEE Wirel Commun, 2010, 17: 35-43.
  • 10You X H, Wang D M, Zhu P C, et al. Cell edge performance of cellular systems. IEEE J Sel Area Commun, 2011, 29: 1139-1150.

共引文献768

同被引文献13

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部