井下认知无线电EWA信道选择算法  

Channel EWA selection strategy in coal mine cognitive radio

作　　者：孙永[1] 钱建生[1] 

机构地区：[1]中国矿业大学信息与电气工程学院,江苏徐州221008

出　　处：《哈尔滨工业大学学报》2015年第6期119-123,共5页Journal of Harbin Institute of Technology

基　　金：国家高技术研究发展计划(863计划)(2012AA062103);江苏省产学研创新基金前瞻性联合研究项目(BY2012081)

摘　　要：为解决特殊的井下恶劣无线环境造成通信极易中断的问题,提出基于经验加权吸引策略的信道选择算法.深入分析报酬反馈结构,建立更加细致和合理的多级的报酬反馈体制.采用简单多次重复概率实验的方法验证了基于EWA学习的信道选择算法的有效性.通过与传统单一固定信道传输和Q学习算法的深入对比研究表明,基于EWA学习的信道选择算法根据无线信道特性的在线学习经验对优选信道快速捕获的准确性和稳定性方面具有更好的性能.In oder to solve extremely unstable link quality and communication failure caused by strong electromagnetic noise and interference in special coal mine environment, this paper proposes an Experience- Weighted Attraction（EWA） selection algorithm. Based on the system structure analysis in depth, it establishes more detailed and reasonable multi-layer reward feedback system. Research is conducted by the method of simple repeated probability experiments channel transmission and Q learning, performance on sensitivity and stability. through software simulations. By comparing with traditional fixed single channel selection strategy with EWA learning has more advantageous

关 键 词：煤矿安全 无线通信系统 认知无线电 强化学习 无线信道 EWA 

分 类 号：TN929.5[电子电信—通信与信息系统]