J4 ›› 2010, Vol. 37 ›› Issue (6): 987-992+1010.doi: 10.3969/j.issn.1001-2400.2010.06.002

• 研究论文 • 上一篇    下一篇

采用软合并合作检测的认知无线电系统的吞吐量优化

张雯;杨家玮;闫琦;肖丽媛   

  1. (西安电子科技大学 综合业务网理论及关键技术国家重点实验室,陕西 西安  710071)
  • 收稿日期:2010-03-23 出版日期:2010-12-20 发布日期:2011-01-22
  • 通讯作者: 张雯
  • 作者简介:张雯(1983-),女,西安电子科技大学博士研究生,E-mail: wzhang@pcn.xidian.edu.cn.
  • 基金资助:

    国家973计划资助项目(2009CB320404);国家自然科学基金资助项目(60902032,60902033);国家重点实验室专项基金资助项目(ISN02080001)

Throughput optimization of a cognitive radio system based on cooperative sensing with soft combination

ZHANG Wen;YANG Jia-wei;YAN Qi;XIAO Li-yuan   

  1. (State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an  710071, China)
  • Received:2010-03-23 Online:2010-12-20 Published:2011-01-22
  • Contact: ZHANG Wen

摘要:

为了最大化认知无线电系统的吞吐量,以采用等增益软合并合作检测的认知无线电系统为例,建立了在主用户得到充分保护的条件下系统吞吐量的优化模型,优化参数分别为本地检测时间和参与合作检测的用户数.利用最优化理论证明了系统吞吐量是本地检测时间的凹函数,并基于该结论给出了最大吞吐量的联合搜索算法.仿真结果验证了理论分析,并给出了不同传输开销下的最大吞吐量及其对应的最优参数.

关键词: 认知无线电, 能量检测, 合作检测, 检测时间, 吞吐量

Abstract:

In order to maximize the throughput for a cognitive radio network, the cognitive radio network based on cooperative sensing with equal gain combination are taken as an example to establish a throughput optimization model, with the constraint that the primary users are sufficiently protected. The optimization parameters are local sensing time and the number of cooperative users. We have proved that the throughput is a concave function of the local sensing time by the optimization theory. Based on the conclusion, a searching method is proposed to obtain the maximal throughput. Simulation results have validated the theoretical results, and the maximal throughput and the corresponding parameters are given under different sensing overheads.

Key words: cognitive radio, energy detection, cooperative sensing, sensing time, throughput