摘要
针对认知无线网络中次级用户通信性能优化问题,以最大化次级用户的传输速率为目标,研究引入协同通信的认知网络中协同节点选择和发送功率分配问题.通过引入中断概率增量因子,简化主用户接收机中断容量损失受限的约束条件,同时依据目标函数的不同将问题分解,对形成的原优化问题进行了有效求解.仿真结果表明,文中算法实现了最优的功率分配和协同节点选择,在保护主用户通信业务的前提下,有效地提升了次级用户的传输速率.
Focusing on the issue of the performance optimization of the secondary users~ communication in cognitive radio networks, this paper investigated the cooperative node selection and power allocation prob- lem in cooperative cognitive radio networks in order to maximize the transmission rate of the secondary us- ers. By introducing an outage probability increment coefficient which makes the constraint simplified, the original optimization problem was effectively handled by the decomposition method according to the objec tive functions. The simulation results indicate that the optimal power allocation and cooperative node selec- tion can be obtained, which improves the secondary users＇ transmission rate performance while the prima- ry users＇ service is protected.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2012年第6期882-886,共5页
Journal of Shanghai Jiaotong University
基金
国家重点基础研究发展规划(973)项目(2009CB3020402)
国家高技术研究发展计划(863)项目(2009AA01Z249)资助
关键词
认知无线电
协同通信
协同节点选择
功率分配
中断容量损失
cognitive radio
cooperative communication
cooperative node selection
power allocation
out- age loss
