【摘要】 针对分布式认知无线网络中所可能存在的多频道隐终端问题,以及分布式协调方法(DCF)在随机冲突下性能下降的问题,该文以最优化网络的效用值为目标,将各个认知节点的接入概率作为求解对象,在分布式认知无线网络中建立了一个通用的凸规划模型。同时,基于凸规划算法,提出了一种分布式的信道接入(DSAC)算法对目标问题进行求解,从而决定认知网络中每个节点以及每条链路的接入概率。仿真结果表明,DSAC算法能够在较少的迭代次数内实现收敛;与普通的DCF方法相比,DSAC算法可以有效地提高网络中同时传输的链路个数,提高了频谱利用率以及网络吞吐量。更多还原

【Abstract】 To overcome the multi-channel hidden terminal problem in distributed cognitive wireless networks as well as improve the performance of the network,a general convex programming model is formulated.The access probability of each cognitive user can be derived from this model.A Distributed Spectrum Access Control(DSAC) algorithm is proposed based on convex optimization.The simulation results show that DSAC can converge during a few intervals,and DSAC can also increase the number of transmission links in the network so as to improve the spectrum efficiency and the network throughput.更多还原