| 摘要: |
| 在协作频谱感知网络中，感知时间和数据融合准则均影响着感知性能。假设控制信道
为二进制对称信道的前提下，基于“k秩准则”建立了协作感知网络吞吐量优化问题的
数学模型，目的是在保护主用户利益的前提下联合优化感知时间和k值使认知网络吞吐
量最大化。理论分析了最优感知时间和k值的存在性，并进行了相关的计算机仿真。仿
真结果表明：所提议的联合优化策略显著提高了协作感知网络的吞吐量，且认知网络的吞吐
量对控制信道状态的变化具有鲁棒性。 |
| 关键词: 认知无线电 协作频谱感知 融合准则 感知时间 吞吐量优化 |
| DOI： |
|
| 基金项目:国家自然科学基金资助项目（60702020） |
|
| Fusion Rule and Sensing Time Joint Optimization in Cooperative Spectrum Sensing Networks |
| CUI Wei-wei,ZHAO Hai-feng,MU Xiao-min |
| (Information Engineering School, Zhengzhou University, Zhengzhou 450001,China) |
| Abstract: |
| In cooperative spectrum sensing networks, the performance of the spectr
um sensing is influenced by the sensing time and data fusion scheme. In this pap
er
, under the assumption of BSC(Binary Symmetric Channel) control channel,the “
k-out-of-N” fus
ion rule is used to formulate a throughput tradeoff problem that is to jointly o
ptimize
the sensing time and k in order to maximize the throughput of secondary net
work. The existance of a pair of optimal sensing time and k value are analys
ed theoretically and
some related computer simulations are performed.The simulation results demonstr
ate that when the
joint optimization strategy proposed is employed, the throughput of the seco
ndary networks is improved and its robustness is strengthened too. |
| Key words: cognitive radio cooperative spectrum sensing fusion rule sensing time throughp
ut tradeoff |
