基于CoDE的多接口认知无线Mesh网络容量研究

Study on the capacity of multiple interfaces cognitive wireless Mesh network based on CoDE algorithm

认知无线Mesh网络具有可重新配置、自组织网络以及认知的能力,在有效融合异构网络和提高无线资源利用率方面具有巨大的潜力.综合考虑认知无线Mesh网络的信道分配与功率控制,结合每个认知用户节点有多个接口的情况,通过量化通信功率控制等级,设计了匹配模型的编码规则及相应的约束机制,提出基于CoDE的多接口认知无线Mesh网络容量研究算法.实验结果表明,该算法有较强的搜索能力,在搜索最优收敛结果方面,具备更好的性能.

Cognitive wireless Mesh network has the ability of re-configuration, self-organized network and cognition. It has great potential in terms of effective integration of heterogeneous wireless networks and improving resource utilization. Considering the channel allocation and power control of cognitive wireless Mesh network, and the fact that each cognitive node has multiple interfaces, the coding rule matching model and the corresponding constraint mechanism were designed by quantifying the communication power control level, and the multiple interfaces cognitive wireless Mesh network algorithm was proposed based on the model of CoDE.The experiments results show that the algorithm has strong searching capability, and has better performance in searching for optimal convergence outcomes.