期刊文献+

一种干扰最小化协作波束形成节点选择方法 被引量:2

A Method of Minimizing Interference of Collaborative Beamforming via Node Selection
下载PDF
导出
摘要 针对无线传感器网络(Wireless Sensor Network,WSN)对周围无关基站造成干扰的问题,提出了一种基于禁忌搜索的协作波束形成节点选择方法。该方法以协作节点的组合方式为优化变量,以降低无关基站方向的波束能量增益为优化目标,能够在约束节点个数的条件下优化协作节点集,减小WSN对无关基站的干扰。仿真结果表明,所提方法能够有效降低协作波束形成在无关基站方向上的能量增益,与随机搜索算法、遗传算法和免疫算法相比,参数设置简单,寻优效率更高。 To reduce the interference of wireless sensor networks(WSNs)to unintended base stations,a method of determining sensor nodes in collaboration beamforming(CB)is proposed based on tabu search.In this method,the combination with a fixed number of sensor nodes is optimized in terms of minimizing the beam energy gain towards the unintended base stations.Simulation results demonstrate that the proposed method can effectively reduce the energy gain of CB in directions of the unintended base stations.Furthermore,compared with the random search algorithm,the genetic algorithm and the immune algorithm,the tabu search algorithm has simpler parameter setting and higher optimization efficiency.
作者 鞠涛 黄高明 满欣 JU Tao;HUANG Gaoming;MAN Xin(College of Electronic Engineering,Naval University of Engineering,Wuhan 430033,China)
出处 《电讯技术》 北大核心 2020年第6期695-700,共6页 Telecommunication Engineering
关键词 无线传感器网络 协作波束形成 禁忌搜索算法 随机稀疏阵 节点选择 wireless sensor network collaborative beamforming tabu search algorithm random sparse array node selection
  • 相关文献

参考文献2

二级参考文献14

  • 1殷勤业,张莹,丁乐,孟银阔.协作分集:一种新的空域分集技术[J].西安交通大学学报,2005,39(6):551-557. 被引量:58
  • 2HONG Y W, HUANG W J, CH1U F H, et al. Cooperative communications in resource-constrained wireless networks[J]. IEEE Signal Processing Magazine, 2007, 24(3): 47-57.
  • 3FOSCHINI G J, GANS M J. On limits of wireless communications in a fading environment when using multiple antennas[J]. Wireless Personal Cornmun, 1998, 6:311-335.
  • 4CUI S G, GOLDSMITH A, BAHAI A. Energy-efficiency of MIMO and cooperative MIMO echniques in sensor networks[J]. IEEE Journal on Selected Areas in Commun, 2004, 22(6): 1089-1098.
  • 5JAYAWEERA S K. Virtual MIMO-based cooperative communication for energy-constrained wireless sensor networks[J]. IEEE Trans Wire- less Commun, 2006, 5(5): 984-989.
  • 6JAYAWEERA S K. V-BLAST-based virtual mimo for wireless sensor networks[J]. IEEE Trans Commun, 2007, 55(10): 1867-1872.
  • 7MUDUMBAI R, BARRIAC G, MADHOW U. On the feasibility of distributed bearnforming in wireless networks[J]. IEEE Trans Wireless Commun, 2007, 6(5): 1754-1763.
  • 8OCHIAI H, MITRAN P, POOR H V, et al. Collaborative beamforming for distributed wireless ad hoc sensor networks[J]. IEEE Trans Signal Process, 2005, 53(11): 4110 - 4124.
  • 9CUI S G, GOLDSMITH A, BAHAI A. Energy constrained modulation optimization[J]. IEEE Trans on Commun, 2005, 4(5): 2349- 2360.
  • 10SIMON M K, ALOUINI M S. Digital Communication over Fading Channels: A Unified Approach to Performance Analysis[M]. Wiley-Interscienee Publication, 2000.

共引文献5

同被引文献20

引证文献2

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