分布式认知无线网络中的频谱接入凸规划算法

赵民建; 陈杰; 李式巨

doi:10.3724/SP.J.1146.2008.00466

分布式认知无线网络中的频谱接入凸规划算法

doi: 10.3724/SP.J.1146.2008.00466

基金项目:

国家十一五863计划项目(2006AA01Z273)资助课题

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出版历程
- 收稿日期: 2008-04-22
- 修回日期: 2009-04-24
- 刊出日期: 2009-09-19

Spectrum Access Algorithm Based on Convex Programming in Distributed Cognitive Wireless Networks

摘要

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。
- 认知无线电; 分布式无线网络; 凸规划
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.

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