空军工程大学学报（自然科学版）2012，Vol.13Issue(1)：79-84,6.DOI:10.3969/j.issn.1009-3516.2012.01.017
认知Ad hoc网络中基于凸优化的功率控制算法
Power Control Algorithm Based on Convex Optimization in Cognitive Ad hoc Networks
摘要
Abstract
Aimed at the characteristics of cognitive Ad hoc network, a corresponding network model is established and a distributed power control algorithm based on convex optimization theory is proposed. Based on the analysis of system interference, by taking the network utility maximization as the target and transmit power of cognitive user as the solution object, a general math optimized model is formulated. Under the guidance of convex optimization theory , the model is transformed into a convex optimized model by introducing auxiliary variable and substituting variables. Lagrangian dual decomposition technique is used to solve the convex optimized model and the distributed power iterative algorithm is obtained. The simulation shows that under the premise of meeting the system constraints, the use of the proposed algorithm can obtain better system performances than that of other algorithms.关键词
认知Ad hoc网络/功率控制/凸优化/拉格朗日对偶算法/干扰温度限Key words
cognitive Ad hoc network/ power control/ convex optimization/ Lagrangian dual decomposition technique/ interference temperature limit分类
信息技术与安全科学引用本文复制引用
胡图,景志宏,张磊,张秋林..认知Ad hoc网络中基于凸优化的功率控制算法[J].空军工程大学学报（自然科学版）,2012,13(1):79-84,6.基金项目
国防预研基金资助项目(9140A06050610JB15) （9140A06050610JB15）
空军工程大学研究生科技创新基金资助项目(DX2011310) （DX2011310）
空军工程大学电讯工程学院创新基金资助项目(DYCX1109) （DYCX1109）
