摘要
针对工业认知无线电网络中出现的无线干扰和冲突严重,特别是工业现场的金属环境和移动特性造成多径与阴影衰落,从而使得传输可靠性难以保证的问题,引入感知信道概率及信道可用度概念,提出一种联合优化中继选择与功率分配的算法。该算法给出3种认知中继选择方案,分别是信道增益最大准则、最近准则及调和平均准则,并在源节点和所选中继节点之间进行最优功率分配,以最小化网络中断概率。仿真结果表明,与平均功率分配算法相比,所提算法能更好地降低系统中断概率,提高传输可靠性。
In the industrial cognitive radio networks, the wireless channel suffers from wireless interference and serious conflict. Specially the metal environment and mobility of the industry scene cause the multipath and shadow fading. These phenomena can lead to the transmission reliability without guarantee. To solve the problem, a new joint optimization of relay selection and power allocation algorithm was proposed based on the concept of channel sensing probability and channel availability. For this algorithm, three cognitive relay selection schemes, maximum channel gain selection, nearest neighbor selection and harmonic mean selection, were discussed respectively. The distributed power among the source and relay nodes was selected optimally to meet outage probability minimally simultaneously. The simulation results show that the proposed algorithm can achieve lower system outage probability and improves the transmission reliability compared with the algorithm of average power assignment.
出处
《计算机应用》
CSCD
北大核心
2010年第11期3072-3076,共5页
journal of Computer Applications
基金
国家973计划项目(2010CB731800)
国家自然科学基金资助项目(60934003
60804030)
河北省科技支撑配套项目(072435155D)
关键词
工业无线系统
认知无线电
中继选择
功率分配
中断概率
industrial wireless system
cognitive radio
relay selection
power allocation
outage probability
