期刊文献+

无人机基站多用户MIMO系统设计与性能分析 被引量:1

The system design and performance analysis of the multi-user MIMO based on UAV base-station
下载PDF
导出
摘要 随着通信技术的发展,高性能要求的通信系统需求更加迫切.文章提出了一种基于无人机基站构成的多用户-多输入多输出(MU-MIMO)通信系统,并对其进行建模和性能的探讨.(1)通过利用空间泊松点过程对空中无人机基站组成的系统进行建模;(2)考虑到一种基于正交的迫零波束成形算法(ZFBF)对该系统进行消除区域内干扰,以获得较高的信噪比;(3)对预编码后的基于无人机基站构成的MU-MIMO系统的容量、误码率以及中断率进行仿真实验.仿真表明该系统具有大容量、低误码率以及低中断率的特点,且分析了在不同情况下,其系统性能的变化情况. With the development of communication technologies,the requirement for high-quality performance of the communication system is more urgent.In this paper,a multi-user multi-input multi-output(MU-MIMO)communication system based on Drone basestation(DBS)is proposed.Its modeling and performance are also studied.First,we model the system of aerial DBS-by using the Spatial Poisson Point Processes(PPP).Second,in order to get higher SNR,we consider an algorithm of Zero forcing beamforming(ZFBF)based on orthogonality to eliminate intra-regional interference.Finally,we simulate the system capacity,bit error rate and interruption probability of this system after precoding.The simulation shows that the system has the characteristics of large capacity,low error rate and low interruption probability.We also analyze the system performance difference under different circumstances.
作者 谢亚鑫 周发升 XIE Ya-xin;ZHOU Fa-sheng(School of Physics and Electronic Engineering,Guangzhou University,Guangzhou 510006,China)
出处 《广州大学学报(自然科学版)》 CAS 2018年第5期59-66,共8页 Journal of Guangzhou University:Natural Science Edition
基金 广州市科技计划资助项目(201804010127) 广州大学教研资助项目(JY201841)
关键词 无人机基站 多用户 多输入多输出 迫零波束成形 系统性能 Drone base station multi-user MIMO ZFBF system performance
  • 相关文献

参考文献4

二级参考文献24

  • 1Gesbert D, Hanly S, Huang H, et al: Multi-cell MIMO cooperative networks: a new look at interference[J]. IEEE Journal on Selected Areas in Communications, 2010, 28(9): 1380-1408.
  • 2Nguyen D N and Krunz M. Cooperative MIMO in wireless networks: recent developments and challenges[J]. IEEENetworks, 2013, 27(4): 48 54.
  • 3Huang Y M, He S W, Jin S, et al: Decentralized energy efficient coordinated beamforming for multicell systems[J]. IEEE Transactions on Vehicular Technology, 2014, 24(11): 1452-1464.
  • 4He S W, Huang Y M, Yang L X, et al: Coordinated multicell multiuser precoding for maximizing weighted sum energy efficiency[J]. IEEE Transactions on Signal Processing, 2014, 62(3): 741-751.
  • 5Cadambe V R and Jafar S A. Interference alignment and degrees of freedom of the K-user interference channel[J]. IEEE Transactions on Information Theory, 2008, 54(8): 3425-3441.
  • 6Ayach O E, Peters S W, and Heath R W. The practical challenges of interference alignment[J]. IEEE Wireless Communications, 2013, 20(1): 35-42.
  • 7Bolcskei H and Thukral I. Interference alignment with limited feedback[C]. Proceedings of IEEE International Symposium on Information Theory, Seoul, Korea, 2009, 1759 1763.
  • 8Ayach O E and Heath R W. Interference alignment with analog channel state feedback[J]. IEEE Transactions on Wireless Communications, 2012, 11(2): 626-636.
  • 9Andrews J G, Baccelli F, and Ganti R K. A tractable approach to coverage and rate in cellular networks[J]. IEEE Transactions on Communications, 2011, 59(11): 3122-3134.
  • 10Lozano A, Heath R W, and Andrews J G. Fundamental limits of cooperation[J]. IEEE Transactions on Information Theory, 2013, 59(9): 5213-5226.

共引文献10

同被引文献18

引证文献1

二级引证文献1

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